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AI Programming with Python Nanodegree v2.0.0
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AI Programming with Python Nanodegree v2.0.0
磁力链接/BT种子简介
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收录时间:
2024-10-16
最近下载:
2024-10-17
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文件列表
Part 06-Module 02-Lesson 01_Calculus in Neural Networks/03. Chapterr 2 Neural Networks-f8PYXDsSBpM.mp4
62.1 MB
Part 06-Module 02-Lesson 01_Calculus in Neural Networks/02. Chapterr 1 Neural Networks-hYB4ku0kmW8.mp4
53.0 MB
Part 06-Module 02-Lesson 01_Calculus in Neural Networks/04. Chapterr 3 Neural Networks-Wr5qCQ48t8E.mp4
40.4 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4
36.3 MB
Part 06-Module 01-Lesson 01_Calculus/12. Chapterr 10 Calculus-1BLFuSXfgMY.mp4
33.6 MB
Part 06-Module 01-Lesson 01_Calculus/10. Chapter 8 Calculus-gKZvmxtM79Q.mp4
30.5 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4
29.7 MB
Part 06-Module 01-Lesson 01_Calculus/03. Chapter 1 Calculusss-ss3NSODhFJI.mp4
29.4 MB
Part 06-Module 01-Lesson 01_Calculus/08. Chapter 6 Calculus-2cNiF9ebdL0.mp4
28.4 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4
28.4 MB
Part 06-Module 01-Lesson 01_Calculus/09. Chapter 7 Claculus-5aL7Fn-9NnQ.mp4
28.4 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4
28.1 MB
Part 06-Module 01-Lesson 01_Calculus/04. Chapter 2 Calculus-mzEit_Oe13E.mp4
26.8 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4
26.1 MB
Part 06-Module 01-Lesson 01_Calculus/05. Chapter 3 Calculus-mzllBDdtjIg.mp4
24.9 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4
24.9 MB
Part 06-Module 01-Lesson 01_Calculus/06. Chapter 4 Claculus--Ti33VDPA7s.mp4
24.5 MB
Part 06-Module 01-Lesson 01_Calculus/07. Chapter 5 Calculus-QsEJGPVxsB8.mp4
23.2 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4
22.7 MB
Part 13-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4
22.1 MB
Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.mp4
22.0 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4
22.0 MB
Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4
21.8 MB
Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4
21.1 MB
Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4
20.9 MB
Part 06-Module 01-Lesson 01_Calculus/11. Chapterr 9 Calculus-OF3awXGM4k0.mp4
20.1 MB
Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4
19.9 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4
19.5 MB
Part 03-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4
19.3 MB
Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4
19.2 MB
Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.mp4
18.2 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4
18.1 MB
Part 03-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4
17.8 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4
17.6 MB
Part 06-Module 02-Lesson 01_Calculus in Neural Networks/05. Chapterr 4 Neural Networks-_d52fwoXXd4.mp4
17.1 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4
16.7 MB
Part 03-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4
16.7 MB
Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate-bSJPzVArE7M.mp4
16.5 MB
Part 03-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.mp4
16.2 MB
Part 01-Module 02-Lesson 01_Programming with Python/05. Números inteiros e floats-MiJ1vfWp-Ts.mp4
16.2 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.mp4
16.2 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.mp4
16.1 MB
Part 03-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.mp4
15.8 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4
15.3 MB
Part 04-Module 01-Lesson 03_NumPy/05. NumPy 2 V1-KR3hHf9Zxxg.mp4
14.9 MB
Part 05-Module 01-Lesson 03_Linear Combination/02. Linear Combinations 2-RsKJNDTb8nw.mp4
14.9 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4
14.5 MB
Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformations 2-imtEd8M6__s.mp4
14.1 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4
14.0 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.mp4
13.9 MB
Part 03-Module 01-Lesson 03_Control Flow/24. Break and Continue-F6qJAv9ts9Y.mp4
13.9 MB
Part 10-Module 01-Lesson 01_Turtles and Code/09. Python Modules And Methods-SlmX9X66vDQ.mp4
13.5 MB
Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.mp4
13.4 MB
Part 11-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.mp4
12.9 MB
Part 10-Module 01-Lesson 01_Turtles and Code/04. Python Variables-VPnV3RdoB7Q.mp4
12.3 MB
Part 03-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.mp4
12.0 MB
Part 07-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.mp4
11.8 MB
Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.mp4
11.6 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.mp4
11.6 MB
Part 03-Module 01-Lesson 03_Control Flow/19. L3 08 While Loops V3-7Sf5tcPlKQw.mp4
11.4 MB
Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.mp4
11.3 MB
Part 12-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.mp4
11.3 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/30. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4
11.2 MB
Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.mp4
10.8 MB
Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.mp4
10.8 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.mp4
10.6 MB
Part 06-Module 02-Lesson 01_Calculus in Neural Networks/06. Gradient Computation Example-_K7lzXqyj8I.mp4
10.4 MB
Part 04-Module 01-Lesson 03_NumPy/08. NumPy 4 V1-jeU7lLgyMms.mp4
10.3 MB
Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.mp4
10.2 MB
Part 09-Module 01-Lesson 01_How Do I Continue From Here/01. Next Steps Into The AI World Outro-40CCUu30w8c.mp4
10.2 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.mp4
10.2 MB
Part 01-Module 01-Lesson 01_Welcome to the Program/02. AIPND Intro FINAL-CeXA-uzNFp4.mp4
10.1 MB
Part 02-Module 01-Lesson 01_Welcome to AI Programming/01. AIPND Intro FINAL-CeXA-uzNFp4.mp4
10.1 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.mp4
9.9 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.mp4
9.7 MB
Part 03-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.mp4
9.5 MB
Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.mp4
9.3 MB
Part 03-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.mp4
9.3 MB
Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.mp4
9.1 MB
Part 01-Module 03-Lesson 01_Fun With Linear Algebra/02. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4
9.0 MB
Part 05-Module 01-Lesson 01_Introduction/03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4
9.0 MB
Part 06-Module 01-Lesson 01_Calculus/13. Multivariable Chain Rule Example-wXDy3P6F_P8.mp4
9.0 MB
Part 04-Module 01-Lesson 03_NumPy/07. NumPy 3 V1-Rt4aydeo9F8.mp4
8.9 MB
Part 13-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4
8.9 MB
Part 01-Module 02-Lesson 01_Programming with Python/03. L1 02 استعراض البرنامج التدريبي V4-vFxXSIV5cHM.mp4
8.8 MB
Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4
8.8 MB
Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/09. AIPND Python Lab - Mutable Data Types and Functions Video-LIOmuZdLymw.mp4
8.8 MB
Part 11-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.mp4
8.7 MB
Part 05-Module 01-Lesson 03_Linear Combination/01. Linear Combinations 1-fmal7UE7dEE.mp4
8.7 MB
Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.mp4
8.7 MB
Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/04. AIPND Python Lab - Workspace How-to Video-EQTttywUnXQ.mp4
8.6 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.mp4
8.6 MB
Part 04-Module 01-Lesson 04_Pandas/12. Pandas 7 V1-ruTYp-twXO0.mp4
8.5 MB
Part 03-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4
8.4 MB
Part 01-Module 01-Lesson 01_Welcome to the Program/03. AIPND Instructors FINAL V5-h0_y3eb_3m4.mp4
8.3 MB
Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.mp4
8.3 MB
Part 04-Module 01-Lesson 04_Pandas/10. Pandas 6 V1-GS1kj04XQcM.mp4
8.3 MB
Part 04-Module 01-Lesson 04_Pandas/09. Pandas 5 V1-lClsJnZn_7w.mp4
8.2 MB
Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-resolve-merge-conflict.gif
8.1 MB
Part 03-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.mp4
8.0 MB
Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.mp4
8.0 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4
7.9 MB
Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.mp4
7.9 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.mp4
7.9 MB
Part 04-Module 01-Lesson 03_NumPy/04. NumPy 1 V1-EOHW29kDg7w.mp4
7.9 MB
Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.mp4
7.8 MB
Part 03-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.mp4
7.8 MB
Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.mp4
7.7 MB
Part 01-Module 04-Lesson 01_Neural Networks/06. Error Functions-jfKShxGAbok.mp4
7.6 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.mp4
7.6 MB
Part 04-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.mp4
7.5 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.mp4
7.4 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/06. L2 031 Levels Of Measurement And Types Of Data V6-3Plhn5Q4xIA.mp4
7.4 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. DataVis L3 03 V2-srRhFrSPdvs.mp4
7.3 MB
Part 04-Module 01-Lesson 04_Pandas/08. Pandas 4 V1-eMHUn9v9dds.mp4
7.3 MB
Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.mp4
7.1 MB
Part 13-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.mp4
7.1 MB
Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.mp4
7.0 MB
Part 04-Module 01-Lesson 03_NumPy/11. NumPy 6 V1-wtLRuGK0kW4.mp4
6.9 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.mp4
6.9 MB
Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.mp4
6.9 MB
Part 05-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.mp4
6.9 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.mp4
6.8 MB
Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.mp4
6.8 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4
6.7 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. L3 031 Bar Charts V3-ybXcduB6cXA.mp4
6.7 MB
Part 13-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.mp4
6.6 MB
Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.mp4
6.6 MB
Part 05-Module 01-Lesson 02_Vectors/03. Vectors 3-mWV_MpEjz9c.mp4
6.6 MB
Part 11-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.mp4
6.5 MB
Part 13-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4
6.4 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.mp4
6.4 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 071 Pie Charts V3-kSrJGJHTKV8.mp4
6.3 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/28. L2 03 Sets V2-eIHNFgTFfnA.mp4
6.2 MB
Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.mp4
6.2 MB
Part 03-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.mp4
6.2 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.mp4
6.2 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.mp4
6.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4
6.0 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4
5.9 MB
Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.mp4
5.9 MB
Part 10-Module 01-Lesson 01_Turtles and Code/01. Python Welcome To Python Programming-_XOoHSQIkkw.mp4
5.9 MB
Part 03-Module 01-Lesson 05_Scripting/26. Experimenting With An Interpreter-hspPtnQwMPg.mp4
5.9 MB
Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. LinearAlgebra 07 FeedForward PAIND85 V3-pvF6jpS_-cU.mp4
5.8 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/03. L1 061 Visualization In Python V1-MFS-1veFC_c.mp4
5.8 MB
Part 13-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.mp4
5.7 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.mp4
5.6 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4
5.6 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4
5.6 MB
Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules-jPGyFgcIvsM.mp4
5.6 MB
Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.mp4
5.5 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4
5.5 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.mp4
5.5 MB
Part 03-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.mp4
5.5 MB
Part 01-Module 02-Lesson 01_Programming with Python/01. L1 01 المقدمة V3-yyNtiUyI5Tw.mp4
5.5 MB
Part 03-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.mp4
5.5 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. DataVis L3 08 V2-f1we_0dUSXg.mp4
5.4 MB
Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough-P50aMPx-zYI.mp4
5.4 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4
5.4 MB
Part 04-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.mp4
5.3 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.mp4
5.3 MB
Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.mp4
5.3 MB
Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4
5.2 MB
Part 11-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.mp4
5.2 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4
5.1 MB
Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors Solution-mmlAuiQKAFI.mp4
5.1 MB
Part 01-Module 03-Lesson 01_Fun With Linear Algebra/03. Vectors 1-oPBz-MLVUHk.mp4
5.1 MB
Part 05-Module 01-Lesson 02_Vectors/01. Vectors 1-oPBz-MLVUHk.mp4
5.1 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. L3 121 Scales And Transformations V3-PE53ga2bOME.mp4
5.1 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.mp4
5.1 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/21. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.mp4
5.1 MB
Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors-h0fOdBumbbk.mp4
5.1 MB
Part 13-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4
5.0 MB
Part 01-Module 04-Lesson 01_Neural Networks/07. Combinando modelos-Boy3zHVrWB4.mp4
5.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.mp4
5.0 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.mp4
4.9 MB
Part 01-Module 03-Lesson 01_Fun With Linear Algebra/04. AIPND-Preview - Linear Algebra Lab -Jupyter Notebook How-to -P8ZMzlDrYOw.mp4
4.9 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.mp4
4.9 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.mp4
4.8 MB
Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.mp4
4.8 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.mp4
4.8 MB
Part 10-Module 01-Lesson 01_Turtles and Code/19. Python Looping Over Lists-Lqpn7C-RBzY.mp4
4.7 MB
Part 10-Module 01-Lesson 01_Turtles and Code/22. Python Nested Loops-TmnSQqfTvws.mp4
4.7 MB
Part 03-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.mp4
4.7 MB
Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.mp4
4.6 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.mp4
4.6 MB
Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.mp4
4.6 MB
Part 11-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.mp4
4.6 MB
Part 04-Module 01-Lesson 03_NumPy/03. NumPy 0 V1-vyjMs8KFHlE.mp4
4.6 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. DataVis L3 04 V2-HLum_ys7RJ0.mp4
4.5 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.mp4
4.5 MB
Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.mp4
4.5 MB
Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4
4.4 MB
Part 03-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.mp4
4.4 MB
Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.mp4
4.4 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.mp4
4.4 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.mp4
4.4 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.mp4
4.4 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/34. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4
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Part 13-Module 01-Lesson 04_Decision Trees/02. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.mp4
4.4 MB
Part 13-Module 01-Lesson 04_Decision Trees/04. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4
4.4 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4
4.3 MB
Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.mp4
4.3 MB
Part 01-Module 02-Lesson 01_Programming with Python/02. L1 03 البرمجة باستخدام لغة Python V4-O1cTNYAjeeg.mp4
4.2 MB
Part 03-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4
4.2 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. L4 071 Box Plots V4-3gxJag12T0g.mp4
4.2 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4
4.2 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.mp4
4.2 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/26. L2 04 Tuples V3-33xN-AbTMoc.mp4
4.2 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4
4.1 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 011 Intro V3-4BpAF4MYKm8.mp4
4.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.mp4
4.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4
4.0 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.mp4
4.0 MB
Part 04-Module 01-Lesson 04_Pandas/04. Pandas 1 V1-iXnYN8cnhzs.mp4
4.0 MB
Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.mp4
4.0 MB
Part 11-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.mp4
4.0 MB
Part 04-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.mp4
4.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent-rhVIF-nigrY.mp4
3.9 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. Data Vis L4 C03 V1-0F6ldBC6Nbs.mp4
3.9 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. Data Vis L4 C13 V1-Z7NjwA6jbjU.mp4
3.9 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Data Vis L4 C09 V1-OnzWhpgM9Vs.mp4
3.9 MB
Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.mp4
3.9 MB
Part 12-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.mp4
3.9 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4
3.8 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. L3 141 Lesson Summary V1-7ZaSMbsJUWU.mp4
3.8 MB
Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.mp4
3.8 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Data Vis L4 C02 V1-wBDC5AmYgyg.mp4
3.8 MB
Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.mp4
3.7 MB
Part 01-Module 04-Lesson 01_Neural Networks/05. Error Functions-YfUUunxWIJw.mp4
3.7 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.mp4
3.7 MB
Part 04-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.mp4
3.7 MB
Part 11-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.mp4
3.7 MB
Part 10-Module 01-Lesson 01_Turtles and Code/21. Python Mystery Shape Walkthrough-9yEiInrUQAU.mp4
3.7 MB
Part 07-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.mp4
3.6 MB
Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.mp4
3.6 MB
Part 12-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.mp4
3.6 MB
Part 03-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.mp4
3.5 MB
Part 13-Module 01-Lesson 07_Ensemble Methods/01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.mp4
3.5 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/01. L4 011 Intro V2-JzvJIWG8Rk4.mp4
3.5 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.mp4
3.5 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp4
3.5 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4
3.5 MB
Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.mp4
3.5 MB
Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.mp4
3.5 MB
Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.mp4
3.4 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Data Vis L4 C04 V1-O6ElT4IFXc0.mp4
3.4 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.mp4
3.4 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4
3.4 MB
Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.mp4
3.3 MB
Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.mp4
3.3 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.mp4
3.3 MB
Part 12-Module 01-Lesson 01_Shell Workshop/14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.mp4
3.3 MB
Part 01-Module 04-Lesson 01_Neural Networks/07. Layers-pg99FkXYK0M.mp4
3.3 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Layers-pg99FkXYK0M.mp4
3.3 MB
Part 03-Module 01-Lesson 03_Control Flow/33. Congrats!-vDoqpwCHxs4.mp4
3.3 MB
Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.mp4
3.2 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/20. DataVis L3 12 V2-fo0VIbQRBJk.mp4
3.2 MB
Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.mp4
3.2 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Data Vis L4 C06 V2-f8Kh4PByiEA.mp4
3.2 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.mp4
3.2 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. L3 - Include Upstream Changes-VvoC6hN6FjU.mp4
3.2 MB
Part 10-Module 01-Lesson 01_Turtles and Code/16. Python Looping With For Loops-8XmmUg1qdJE.mp4
3.1 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.mp4
3.1 MB
Part 11-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.mp4
3.1 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4
3.1 MB
Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Plotting a Transformed Vector v3-lmF-V8emukA.mp4
3.0 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. L3 081 Histograms V2-RLez9L0htGQ.mp4
3.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4
3.0 MB
Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/02. PROJECT INTRO MAIN V2---9IFCNBM6Y.mp4
3.0 MB
Part 07-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer perceptrons-Rs9petvTBLk.mp4
3.0 MB
Part 03-Module 01-Lesson 05_Scripting/28. Conclusion-rEMrswkLvh8.mp4
3.0 MB
Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4
3.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4
3.0 MB
Part 11-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.mp4
3.0 MB
Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.mp4
2.9 MB
Part 10-Module 01-Lesson 01_Turtles and Code/07. Python Moving And Turning-_APxiaRZg_0.mp4
2.9 MB
Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.mp4
2.8 MB
Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution2 v1-UJGRYNl2ZFo.mp4
2.8 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.mp4
2.8 MB
Part 11-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.mp4
2.8 MB
Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.mp4
2.7 MB
Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.mp4
2.7 MB
Part 11-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.mp4
2.7 MB
Part 10-Module 01-Lesson 01_Turtles and Code/13. Python Using Variables-i7nff81Gr8U.mp4
2.7 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.mp4
2.7 MB
Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.mp4
2.7 MB
Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 2-qjNbBZAPOlQ.mp4
2.7 MB
Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.mp4
2.7 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/37. Conclusion-LLEZadlXM8A.mp4
2.7 MB
Part 05-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.mp4
2.6 MB
Part 12-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.mp4
2.6 MB
Part 07-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent-29PmNG7fuuM.mp4
2.6 MB
Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Matrix Multiplication v2-TavNlmrIuwI.mp4
2.6 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Theory-H5JqcdIB5y0.mp4
2.6 MB
Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.mp4
2.5 MB
Part 13-Module 01-Lesson 07_Ensemble Methods/02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.mp4
2.5 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.mp4
2.4 MB
Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Currency Conversion Problem v2-wmHk5cL5NJA.mp4
2.4 MB
Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle-jV_0sC9BVUw.mp4
2.4 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.mp4
2.4 MB
Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.mp4
2.3 MB
Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.mp4
2.3 MB
Part 13-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.mp4
2.3 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.mp4
2.2 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.mp4
2.2 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Data Vis L4 C12 V2-aJncRqqJUYI.mp4
2.2 MB
Part 11-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.mp4
2.2 MB
Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.mp4
2.2 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.mp4
2.2 MB
Part 01-Module 04-Lesson 01_Neural Networks/02. Classsification Example-Dh625piH7Z0.mp4
2.2 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.mp4
2.2 MB
Part 13-Module 01-Lesson 03_Logistic Regression/01. Classsification Example-Dh625piH7Z0.mp4
2.2 MB
Part 12-Module 01-Lesson 01_Shell Workshop/07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.mp4
2.2 MB
Part 12-Module 01-Lesson 01_Shell Workshop/13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.mp4
2.1 MB
Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-add-to-staging-recap.gif
2.1 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/03. Testing-EeBZpb-PSac.mp4
2.1 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.mp4
2.1 MB
Part 10-Module 01-Lesson 01_Turtles and Code/06. Python Walking Through The Code Part 3-xh7_q1Q2Irc.mp4
2.1 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.mp4
2.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.mp4
2.0 MB
Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4
2.0 MB
Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.mp4
2.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.mp4
2.0 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.mp4
2.0 MB
Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.mp4
1.9 MB
Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.mp4
1.9 MB
Part 12-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.mp4
1.9 MB
Part 13-Module 01-Lesson 05_Naive Bayes/04. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4
1.9 MB
Part 10-Module 01-Lesson 01_Turtles and Code/28. Python Rainbow Turtle Walkthrough, Part 2-uIg5-eaaqGs.mp4
1.9 MB
Part 12-Module 01-Lesson 01_Shell Workshop/11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.mp4
1.8 MB
Part 07-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp4
1.8 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.mp4
1.8 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4
1.8 MB
Part 10-Module 01-Lesson 01_Turtles and Code/03. Python Walking Through The Code-nBj8D_meKsA.mp4
1.7 MB
Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Theory-twLr9ndsf90.mp4
1.7 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.mp4
1.7 MB
Part 01-Module 04-Lesson 01_Neural Networks/03. Classification Example-46PywnGa_cQ.mp4
1.7 MB
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Example-46PywnGa_cQ.mp4
1.7 MB
Part 13-Module 01-Lesson 03_Logistic Regression/02. Classification Example-46PywnGa_cQ.mp4
1.7 MB
Part 11-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.mp4
1.7 MB
Part 02-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.48.22-pm.png
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Part 13-Module 01-Lesson 02_Linear Regression/01. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4
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Part 06-Module 02-Lesson 01_Calculus in Neural Networks/img/screen-shot-2018-09-20-at-11.53.08-am.png
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Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.32.04-pm.png
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. DataVis L3 11 V1-C8DGwJa_adA.mp4
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Part 07-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.mp4
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Part 12-Module 01-Lesson 01_Shell Workshop/10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.mp4
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Part 11-Module 02-Lesson 01_Working With Remotes/06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.mp4
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.mp4
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Part 13-Module 01-Lesson 02_Linear Regression/03. Fitting A Line-gkdoknEEcaI.mp4
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Part 07-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.mp4
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Part 06-Module 01-Lesson 01_Calculus/img/screen-shot-2018-08-16-at-3.00.21-pm.png
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Part 13-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices-uhdTulw9-Nc.mp4
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Part 01-Module 04-Lesson 01_Neural Networks/04. Why Neural Networks-zAkzOZntK6Y.mp4
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Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-course-git-blog-project-in-browser.png
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Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.mp4
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Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.mp4
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-02-16-at-12.49.05-pm.png
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-2.52.19-pm.png
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Part 01-Module 04-Lesson 01_Neural Networks/img/student-quiz.png
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Part 11-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.mp4
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-github-homepage-new-repo-button.png
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/and-to-or.png
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-github-homepage.png
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Part 04-Module 01-Lesson 01_Anaconda/media/conda_default_install.mp4
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-issue-comments.png
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Part 05-Module 01-Lesson 01_Introduction/img/grant.png
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Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.59.16-pm.png
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Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-04-pull-request-comment.png
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Part 03-Module 01-Lesson 01_Why Python Programming/img/screen-shot-2018-03-19-at-2.30.59-pm.png
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Part 04-Module 01-Lesson 03_NumPy/img/screen-shot-2018-03-19-at-2.30.59-pm.png
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Part 04-Module 01-Lesson 04_Pandas/img/screen-shot-2018-03-19-at-2.30.59-pm.png
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Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-vs-git-log-oneline.png
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/img/screen-shot-2018-03-19-at-2.39.10-pm.png
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.mp4
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Part 13-Module 01-Lesson 02_Linear Regression/img/house.png
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Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-project-in-editor.png
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/screen-shot-2018-03-19-at-3.49.28-pm.png
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Part 07-Module 01-Lesson 03_Training Neural Networks/img/screen-shot-2018-03-19-at-3.49.28-pm.png
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assets/img/udacimak.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-new-issue-button.png
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Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-watched-repos.png
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Part 04-Module 01-Lesson 01_Anaconda/img/screen-shot-2018-03-19-at-2.49.57-pm.png
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Part 04-Module 01-Lesson 02_Jupyter Notebooks/img/screen-shot-2018-03-19-at-2.49.57-pm.png
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Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/img/screen-shot-2018-03-19-at-2.49.57-pm.png
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Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/screen-shot-2018-03-19-at-2.49.57-pm.png
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-three.png
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Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image4.png
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Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/img/ud456-l3-03-starred-repos.png
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Part 04-Module 01-Lesson 01_Anaconda/img/conda-search.png
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-project-github-no-commits.png
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Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-vs-git-log-stat.png
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-2.22.49-pm.png
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-four.png
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Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.mp4
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/or-quiz.png
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-one.png
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Part 11-Module 01-Lesson 01_What is Version Control/img/ud123-l1-google-docs-saving-progress.gif
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Part 11-Module 01-Lesson 01_What is Version Control/img/ud123-l1-git-course-outline.png
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Part 02-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.50-pm.png
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/tidy-data-two.png
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Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-10.23.07-pm.png
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-details-section.png
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Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-1.14.23-pm.png
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-add.gif
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-10.45.20-am.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-lighthouse-contributing-file.png
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Part 04-Module 01-Lesson 03_NumPy/img/screen-shot-2018-03-19-at-3.21.24-pm.png
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Part 04-Module 01-Lesson 04_Pandas/img/screen-shot-2018-03-19-at-3.21.24-pm.png
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-conflict-indicators.png
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-github-create-repo-page.png
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Part 04-Module 01-Lesson 02_Jupyter Notebooks/media/Markdown+cells.mp4
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-project-push-commits.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-submit-new-issue.png
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Part 05-Module 01-Lesson 03_Linear Combination/img/screen-shot-2018-01-26-at-11.05.49-pm.png
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-conflict-prep2.png
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-initial-commit.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-git-shortlog.png
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Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-02-10-at-8.59.39-pm.png
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-commit-editor.png
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Part 03-Module 01-Lesson 05_Scripting/img/generate-messages-output.png
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-merge-conflict-prep.png
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Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-09-at-6.28.07-pm.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-clone-lighthouse-project.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-commit-with-description.png
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Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-02-10-at-9.00.30-pm.png
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Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-output.png
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Part 13-Module 01-Lesson 06_Support Vector Machines/img/screen-shot-2018-01-06-at-10.44.48-pm.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-04-sign-contributor-license.png
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-editor-with-tag-message.png
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Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-1.05.48-pm.png
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Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.27.45-pm.png
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Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.23.37-pm.png
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Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-p-lines-removed-annotated.png
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/and-quiz.png
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-git-log-author.png
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-git-remote-add-terminal.png
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/screen-shot-2018-03-19-at-3.41.27-pm.png
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-git-log-graph-all.png
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/img/ud456-l2-03-git-shortlog-flags.png
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Part 01-Module 01-Lesson 01_Welcome to the Program/img/screen-shot-2018-08-29-at-2.26.02-pm.png
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Part 02-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.34-pm.png
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assets/js/katex.min.js
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Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image8.png
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Part 01-Module 05-Lesson 01_Ready to Level Up with AI/img/screen-shot-2018-08-29-at-3.50.35-pm.png
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status-with-untracked.png
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status-after-git-add.png
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Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.55.40-pm.png
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Part 03-Module 01-Lesson 02_Data Types and Operators/img/screen-shot-2018-01-30-at-5.14.39-pm.png
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Part 05-Module 01-Lesson 01_Introduction/img/screen-shot-2018-01-19-at-2.24.21-pm.png
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/xor.png
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/meme.png
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/img/ud123-l4-git-status-modified-files.png
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Part 01-Module 05-Lesson 01_Ready to Level Up with AI/img/screen-shot-2018-08-29-at-3.52.39-pm.png
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Part 11-Module 01-Lesson 03_Review a Repo's History/img/ud123-l3-git-log-stat.gif
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Part 11-Module 01-Lesson 02_Create A Git Repo/img/ud123-l2-.git-directory.png
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Part 05-Module 01-Lesson 02_Vectors/img/screen-shot-2018-01-24-at-3.13.49-pm.png
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Part 04-Module 01-Lesson 01_Anaconda/media/conda_install.mp4
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Part 13-Module 01-Lesson 04_Decision Trees/img/table.png
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-git-remote-from-clone.png
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Part 10-Module 01-Lesson 01_Turtles and Code/img/turtle-draw.jpg
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Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-submit.png
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Part 11-Module 02-Lesson 01_Working With Remotes/img/ud456-l1-my-travel-plans-project.png
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Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/img/workspaces-notebook.png
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Part 13-Module 01-Lesson 04_Decision Trees/img/recommending-apps.png
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index.html
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/img/screen-shot-2018-01-31-at-4.14.50-pm.png
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assets/css/bootstrap.min.css
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Part 13-Module 01-Lesson 05_Naive Bayes/img/spamham.png
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Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/03. Introduction to GPU Workspaces.html
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/19. Extra Stacked Plots.html
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Part 03-Module 01-Lesson 05_Scripting/04. [For Windows] Configuring Git Bash to Run Python.html
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Part 04-Module 01-Lesson 04_Pandas/05. Accessing and Deleting Elements in Pandas Series.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/03. Project Instructions.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/02. Project Description.html
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Part 05-Module 01-Lesson 03_Linear Combination/06. Solving a Simplified Set of Equations.html
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Part 04-Module 01-Lesson 03_NumPy/09. Boolean Indexing, Set Operations, and Sorting.html
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Part 11-Module 01-Lesson 03_Review a Repo's History/03. Changing How Git Log Displays Information.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Neural Network Architecture.html
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Part 03-Module 01-Lesson 02_Data Types and Operators/24. List Methods.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/Project Rubric - Use a Pre-trained Image Classifier to Identify Dog Breeds.html
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Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/Project Rubric - Create Your Own Image Classifier.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation.html
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Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/12. Linear Transformation Quiz Answers.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Trick.html
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Part 03-Module 01-Lesson 02_Data Types and Operators/10. Booleans, Comparison Operators, and Logical Operators.html
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Part 03-Module 01-Lesson 03_Control Flow/25. Quiz Break, Continue.html
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Part 10-Module 01-Lesson 01_Turtles and Code/18. Practice — Assigning lists to variables.html
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Part 03-Module 01-Lesson 03_Control Flow/29. Solution Zip and Enumerate.html
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Part 04-Module 01-Lesson 02_Jupyter Notebooks/04. Launching the notebook server.html
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Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/05. Multiplication of a Square Matrices.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Maximizing Probabilities.html
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Part 05-Module 01-Lesson 04_Linear Transformation and Matrices/07. Matrix Multiplication - General.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Logistic Regression.html
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Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. Create a Pull Request.html
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Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/02. Procedural vs. Object-Oriented Programming.html
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Part 01-Module 01-Lesson 01_Welcome to the Program/04. Udacity Support.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. Higher Dimensions.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. Perceptrons.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/04. Workspace How-to.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-60-2.png
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Part 12-Module 01-Lesson 01_Shell Workshop/02. Windows Installing Git Bash.html
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Part 03-Module 01-Lesson 05_Scripting/19. Solution Reading and Writing Files.html
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Part 04-Module 01-Lesson 03_NumPy/02. Introduction to NumPy.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross-Entropy 1.html
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Part 04-Module 01-Lesson 01_Anaconda/05. Managing packages.html
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Part 11-Module 02-Lesson 01_Working With Remotes/06. Pull vs Fetch.html
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/img/l3-c04-relfreqchart1.png
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Part 04-Module 01-Lesson 04_Pandas/02. Introduction to Pandas.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/25. Logistic Regression Algorithm.html
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Part 03-Module 01-Lesson 05_Scripting/07. Editing a Python Script.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Problems 2.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks.html
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Part 03-Module 01-Lesson 05_Scripting/16. Accessing Error Messages.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-linear Data.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/37. Outro.html
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Part 03-Module 01-Lesson 03_Control Flow/33. Conclusion.html
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction.html
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Part 08-Module 01-Lesson 01_ Create Your Own Image Classifier/07. Image Classifier - Part 2 - Command Line App.html
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Part 03-Module 01-Lesson 04_Functions/11. Lambda Expressions.html
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Part 13-Module 01-Lesson 05_Naive Bayes/03. Bayesian Learning 1.html
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. What is a Neural Network.html
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Part 12-Module 01-Lesson 01_Shell Workshop/12. Searching and pipes (grep, wc).html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/21. Project Workspace - Classify Uploaded Images.html
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Part 10-Module 01-Lesson 01_Turtles and Code/01. Welcome!.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/08. Project Workspace - Command Line Arguments.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/13. Project Workspace - Classifying Images.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/15. Project Workspace - Adjusting Results.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/11. Project Workspace - Pet Image Labels.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/19. Project Workspace - Printing Results.html
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Part 03-Module 01-Lesson 05_Scripting/10. Solution Scripting with Raw Input.html
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Part 03-Module 02-Lesson 01_Use a Pre-trained Image Classifier to Identify Dog Breeds/23. Project Workspace - Final Results.html
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Part 03-Module 01-Lesson 05_Scripting/22. Solution The Standard Library.html
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Part 01-Module 05-Lesson 01_Ready to Level Up with AI/01. Ready to Level Up with AI.html
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Part 03-Module 01-Lesson 05_Scripting/28. Conclusion.html
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Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/index.html
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Part 11-Module 01-Lesson 01_What is Version Control/index.html
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Part 01-Module 03-Lesson 01_Fun With Linear Algebra/index.html
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Part 13-Module 01-Lesson 04_Decision Trees/index.html
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Part 11-Module 01-Lesson 02_Create A Git Repo/index.html
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3.9 kB
assets/css/fonts/KaTeX_Size3-Regular.woff2
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/index.html
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Part 12-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.zh-CN.vtt
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Part 05-Module 02-Lesson 03_Linear Mapping Lab/index.html
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assets/css/styles.css
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Part 13-Module 01-Lesson 02_Linear Regression/index.html
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Part 02-Module 01-Lesson 01_Welcome to AI Programming/index.html
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Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.pt-BR.vtt
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Part 03-Module 01-Lesson 01_Why Python Programming/index.html
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Part 13-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.zh-CN.vtt
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Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.pt-BR.vtt
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Part 13-Module 01-Lesson 05_Naive Bayes/index.html
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Part 10-Module 01-Lesson 01_Turtles and Code/img/nested-loops-boxes.png
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt
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Part 02-Module 01-Lesson 02_Get Help from Peers and Mentors/index.html
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Part 03-Module 01-Lesson 03_Control Flow/24. Break and Continue-F6qJAv9ts9Y.zh-CN.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.ar.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/22. Python Nested Loops-TmnSQqfTvws.en.vtt
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Part 11-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.ar.vtt
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Part 05-Module 02-Lesson 02_Linear Combination Lab/index.html
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.en.vtt
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Part 13-Module 01-Lesson 03_Logistic Regression/index.html
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Part 11-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.ar.vtt
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Part 03-Module 01-Lesson 03_Control Flow/27. Zip and Enumerate-bSJPzVArE7M.ar.vtt
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Part 13-Module 01-Lesson 07_Ensemble Methods/index.html
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Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.en.vtt
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Part 05-Module 02-Lesson 01_Vectors Lab/index.html
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Part 13-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.en.vtt
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Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.pt-BR.vtt
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Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt
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Part 02-Module 01-Lesson 03_Get Help with Your Account/index.html
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Part 09-Module 01-Lesson 01_How Do I Continue From Here/index.html
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Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.zh-CN.vtt
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Part 13-Module 01-Lesson 08_Outro/index.html
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Part 01-Module 05-Lesson 01_Ready to Level Up with AI/index.html
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Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.en.vtt
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Part 13-Module 01-Lesson 01_Intro/index.html
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Part 14-Module 01-Lesson 01_Visualizing The Importance Of The Learning Rate/index.html
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. DataVis L3 04 V2-HLum_ys7RJ0.zh-CN.vtt
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Part 04-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.en.vtt
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Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.ar.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.pt-BR.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.en.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.en.vtt
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Part 13-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.pt-BR.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Layers-pg99FkXYK0M.pt-BR.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.ar.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.en.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/22. Python Nested Loops-TmnSQqfTvws.zh-CN.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/21. Python Mystery Shape Walkthrough-9yEiInrUQAU.zh-CN.vtt
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Part 13-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt
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Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.pt-BR.vtt
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Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.pt-BR.vtt
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Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/mse.png
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Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.en.vtt
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.zh-CN.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.ar.vtt
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Part 13-Module 01-Lesson 07_Ensemble Methods/02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.pt-BR.vtt
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Part 03-Module 01-Lesson 05_Scripting/25. Third Party Libraries And Package Managers-epOze9gC6T4.zh-CN.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.pt-BR.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.pt-BR.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.zh-CN.vtt
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Part 11-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.ar.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.zh-CN.vtt
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Part 04-Module 01-Lesson 04_Pandas/04. Pandas 1 V1-iXnYN8cnhzs.zh-CN.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/07. Layers-pg99FkXYK0M.zh-CN.vtt
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Part 03-Module 01-Lesson 03_Control Flow/19. L3 08 While Loops V3-7Sf5tcPlKQw.en.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt
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Part 04-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.zh-CN.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.en.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.ar.vtt
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Part 13-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt
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Part 01-Module 02-Lesson 01_Programming with Python/05. Whitespace-UxkIwcOczQQ.en.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.en.vtt
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Part 01-Module 03-Lesson 01_Fun With Linear Algebra/04. AIPND-Preview - Linear Algebra Lab -Jupyter Notebook How-to -P8ZMzlDrYOw.en.vtt
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Part 13-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.zh-CN.vtt
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Part 13-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.en.vtt
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Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.ar.vtt
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Part 13-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.en.vtt
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Part 01-Module 02-Lesson 01_Programming with Python/04. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt
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Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.pt-BR.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.ar.vtt
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Part 03-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.en.vtt
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Part 13-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.pt-BR.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/19. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.en.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.zh-CN.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.en.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.en.vtt
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Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/backprop-error.gif
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Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.en.vtt
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Part 04-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.en.vtt
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Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.en.vtt
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Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.ar.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 071 Pie Charts V3-kSrJGJHTKV8.pt-BR.vtt
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Part 05-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.en.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.en.vtt
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Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.ar.vtt
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Part 03-Module 01-Lesson 03_Control Flow/30. List Comprehensions-6qxo-NV9v_s.zh-CN.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt
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Part 01-Module 02-Lesson 01_Programming with Python/03. L1 02 استعراض البرنامج التدريبي V4-vFxXSIV5cHM.pt-BR.vtt
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Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.pt-BR.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.ar.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.pt-BR.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/01. Introduction-tn-CrUTkCUc.zh-CN.vtt
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Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.en.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.en.vtt
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Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/weight-label-reference.gif
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Part 03-Module 01-Lesson 03_Control Flow/19. L3 08 While Loops V3-7Sf5tcPlKQw.zh-CN.vtt
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Part 13-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.zh-CN.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Data Vis L4 C04 V1-O6ElT4IFXc0.zh-CN.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.pt-BR.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/13. Python Using Variables-i7nff81Gr8U.en.vtt
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Part 03-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.en.vtt
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Part 01-Module 01-Lesson 01_Welcome to the Program/03. AIPND Instructors FINAL V5-h0_y3eb_3m4.zh-CN.vtt
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Part 02-Module 01-Lesson 01_Welcome to AI Programming/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.zh-CN.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors Solution-mmlAuiQKAFI.pt-BR.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/10. L3 031 Bar Charts V3-ybXcduB6cXA.zh-CN.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.zh-CN.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Data Vis L4 C09 V1-OnzWhpgM9Vs.zh-CN.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.zh-CN.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/07. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt
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Part 03-Module 03-Lesson 01_Intro to Object-Oriented Programming/02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.en.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt
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Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.ar.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.pt-BR.vtt
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Part 03-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.en.vtt
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Part 03-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.zh-CN.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.ar.vtt
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.ar.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.zh-CN.vtt
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.ar.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 05 Lists Methods V1-WXkPm4rv6ng.en.vtt
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Part 11-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.ar.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/28. L2 03 Sets V2-eIHNFgTFfnA.zh-CN.vtt
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Part 07-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.pt-BR.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/16. Python Looping With For Loops-8XmmUg1qdJE.en.vtt
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Part 03-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.zh-CN.vtt
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Part 03-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.zh-CN.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.en.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors Solution-mmlAuiQKAFI.zh-CN.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 071 Pie Charts V3-kSrJGJHTKV8.zh-CN.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. L3 141 Lesson Summary V1-7ZaSMbsJUWU.pt-BR.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.zh-CN.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt
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Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.pt-BR.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/07. Python Moving And Turning-_APxiaRZg_0.en.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.pt-BR.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.pt-BR.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.en.vtt
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Part 11-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.zh-CN.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.en.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/26. L2 04 Tuples V3-33xN-AbTMoc.zh-CN.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.en.vtt
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Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.pt-BR.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-49.gif
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/img/sigmoid-derivative.gif
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Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Theory-twLr9ndsf90.zh-CN.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.pt-BR.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.pt-BR.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.en.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.en.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. L3 081 Histograms V2-RLez9L0htGQ.pt-BR.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/01. Python Welcome To Python Programming-_XOoHSQIkkw.en.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.pt-BR.vtt
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Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.en.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt
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Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.pt-BR.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.pt-BR.vtt
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Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.en.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.en.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.pt-BR.vtt
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Part 13-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.pt-BR.vtt
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.en.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.pt-BR.vtt
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Part 07-Module 01-Lesson 03_Training Neural Networks/03. Testing-EeBZpb-PSac.zh-CN.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.pt-BR.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.en.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.zh-CN.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.en.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.zh-CN.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.ar.vtt
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Part 03-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.zh-CN.vtt
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Part 03-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.zh-CN.vtt
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Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.pt-BR.vtt
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Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.zh-CN.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/24. L2 05 Lists Methods V1-WXkPm4rv6ng.zh-CN.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 011 Intro V3-4BpAF4MYKm8.pt-BR.vtt
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Part 05-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Plotting a Transformed Vector v3-lmF-V8emukA.pt-BR.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/07. Python Moving And Turning-_APxiaRZg_0.zh-CN.vtt
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Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.pt-BR.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.zh-CN.vtt
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Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.en.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. Data Vis L4 C07 V1-f6v3L3IDo24.en.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/16. Python Looping With For Loops-8XmmUg1qdJE.zh-CN.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/03. Python Walking Through The Code-nBj8D_meKsA.pt-BR.vtt
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.zh-CN.vtt
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Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.en.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/01. Python Welcome To Python Programming-_XOoHSQIkkw.zh-CN.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/15. L3 081 Histograms V2-RLez9L0htGQ.en.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/07. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt
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Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.en.vtt
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Part 03-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.zh-CN.vtt
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.en.vtt
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Part 13-Module 01-Lesson 04_Decision Trees/04. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.en.vtt
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Part 01-Module 03-Lesson 01_Fun With Linear Algebra/06. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.en.vtt
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Part 05-Module 02-Lesson 01_Vectors Lab/02. AIPND Linear Algebra Vectors Lab Solution1 v1-xk-JNxMzlsQ.en.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.en.vtt
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Part 03-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.zh-CN.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/22. L3 141 Lesson Summary V1-7ZaSMbsJUWU.en.vtt
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Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.zh-CN.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/08. Python Finding Errors-h0fOdBumbbk.pt-BR.vtt
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Part 11-Module 01-Lesson 01_What is Version Control/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.pt-BR.vtt
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Part 03-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.en.vtt
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Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.pt-BR.vtt
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Part 11-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.pt-BR.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt
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Part 10-Module 01-Lesson 01_Turtles and Code/03. Python Walking Through The Code-nBj8D_meKsA.en.vtt
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Part 03-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.en.vtt
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Part 11-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.pt-BR.vtt
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Part 01-Module 04-Lesson 01_Neural Networks/03. Classification Example-46PywnGa_cQ.en.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Example-46PywnGa_cQ.en.vtt
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Part 13-Module 01-Lesson 03_Logistic Regression/02. Classification Example-46PywnGa_cQ.en.vtt
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Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/hidden-layer-weights.gif
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Part 03-Module 01-Lesson 05_Scripting/23. Techniques For Importing Modules Part II-aASigWQ_XU0.zh-CN.vtt
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Part 04-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.zh-CN.vtt
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Part 13-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.zh-CN.vtt
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Part 03-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.ar.vtt
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Part 03-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.en.vtt
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Part 11-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.pt-BR.vtt
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Part 07-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt
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Part 01-Module 02-Lesson 01_Programming with Python/02. L1 03 البرمجة باستخدام لغة Python V4-O1cTNYAjeeg.ar.vtt
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Part 03-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.ar.vtt
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Part 11-Module 01-Lesson 03_Review a Repo's History/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.en.vtt
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Part 12-Module 01-Lesson 01_Shell Workshop/10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.en.vtt
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Part 07-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt
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Part 07-Module 01-Lesson 02_Implementing Gradient Descent/img/backprop-weight-update.gif
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Part 11-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.zh-CN.vtt
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Part 11-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.ar.vtt
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Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.en.vtt
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Part 04-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/11. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.pt-BR.vtt
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Part 13-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt
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