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[ CourseWikia.com ] Udemy - Mastering OCR using Deep Learning and OpenCV-Python.zip

  • [ CourseWikia.com ] Udemy - Mastering OCR using Deep Learning and OpenCV-Python.zip 816.9 MB
[磁力链接] 添加时间:2021-03-29 大小:816.9 MB 最近下载:2025-11-02 热度:5084

[UdemyCourseDownloader] Deep Learning Convolutional Neural Networks in Python

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
  • 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
  • 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
  • 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
  • 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
  • 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
  • 8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
  • 8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
  • 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
  • 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
  • 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
  • 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 8. Appendix/10. Is Theano Dead.mp4 18.7 MB
  • 8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-03-29 大小:1.1 GB 最近下载:2025-11-01 热度:1036

[ FreeCourseWeb.com ] Machine learning with Complete Python (Basic to Advanced) (9 - 2020).zip

  • [ FreeCourseWeb.com ] Machine learning with Complete Python (Basic to Advanced) (9 - 2020).zip 2.5 GB
[磁力链接] 添加时间:2021-03-28 大小:2.5 GB 最近下载:2025-10-22 热度:608

[ FreeCourseWeb.com ] Udemy - Deep Learning Course with Flutter & Python - Build 6 AI Apps.zip

  • [ FreeCourseWeb.com ] Udemy - Deep Learning Course with Flutter & Python - Build 6 AI Apps.zip 4.1 GB
[磁力链接] 添加时间:2021-03-28 大小:4.1 GB 最近下载:2025-11-03 热度:3311

[FreeTutorials.Us] Udemy - Deep Learning Convolutional Neural Networks in Python

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
  • 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
  • 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
  • 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
  • 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
  • 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
  • 8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
  • 8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
  • 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
  • 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
  • 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
  • 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 8. Appendix/10. Is Theano Dead.mp4 18.7 MB
  • 8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-03-27 大小:1.1 GB 最近下载:2025-11-03 热度:666

Python for Data Science and Machine Learning Bootcamp

  • Python for Data Science and Machine Learning Bootcamp.zip 3.5 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
  • TutsGalaxy.com.txt 53 Bytes
[磁力链接] 添加时间:2021-03-26 大小:3.5 GB 最近下载:2025-11-04 热度:6936

[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 175.4 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 22. Random Forest Classification/3. Random Forest Classification in Python.srt 149.4 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
[磁力链接] 添加时间:2021-03-26 大小:12.7 GB 最近下载:2025-09-11 热度:772

Python, Machine Learning and Algorithmic Trading Masterclass

  • Python, Machine Learning and Algorithmic Trading Masterclass/6. Classes and Objects/4. Inheritance.mp4 264.9 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/5. Common Technical Indicators.mp4 234.4 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/13. Intro to Tensorflow and Machine Learning/8. Simple Linear Regression Model.mp4 218.4 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/16. Quantopian/15. Creating and Testing a Portfolio.mp4 196.1 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/8. Numpy Tutorials/8. Numpy Matrix Functions.mp4 196.1 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/10. PyPlot Tutorials/6. Customizind Graph Demo.mp4 185.8 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/6. Trading Strategies.mp4 183.7 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/10. PyPlot Tutorials/4. Plotting with PyPlot Demo.mp4 176.9 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/4. Control Flow/3. For Loops.mp4 173.4 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/8. Numpy Tutorials/6. Numpy Array functions.mp4 173.3 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/3. Buying and Selling.mp4 173.3 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/14. Simple Stock Market Prediciton/4. Creating Datasets.mp4 171.3 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/4. Control Flow/1. If Statements.mp4 171.2 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/16. Quantopian/11. Algorithm IDE Basics.mp4 154.4 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/13. Intro to Tensorflow and Machine Learning/2. Intro to Machine Learning.mp4 153.4 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/2. Learn the Lingo.mp4 153.1 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/3. Collections/3. Dictionaries.mp4 145.3 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/3. Collections/1. Lists.mp4 140.4 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/9. Pandas Tutorials/11. Creating Dataframe Demo.mp4 138.6 MB
  • Python, Machine Learning and Algorithmic Trading Masterclass/14. Simple Stock Market Prediciton/6. Training and Testing the Model.mp4 133.2 MB
[磁力链接] 添加时间:2021-03-26 大小:9.9 GB 最近下载:2025-11-02 热度:2829

[FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python

  • 9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
  • 8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
  • 11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
  • 6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
  • 4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
  • 9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
  • 11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
  • 3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
  • 2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
  • 5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
  • 4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
  • 10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
  • 9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
  • 8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
  • 9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
  • 4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
  • 5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
  • 8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
  • 4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
  • 9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB
[磁力链接] 添加时间:2021-03-26 大小:7.9 GB 最近下载:2025-11-03 热度:1946

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
  • 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB
[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-11-01 热度:1197

[FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2025-10-04 热度:59

[FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python

  • 9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
  • 8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
  • 11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
  • 6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
  • 4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
  • 9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
  • 11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
  • 3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
  • 2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
  • 5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
  • 4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
  • 10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
  • 9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
  • 8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
  • 9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
  • 4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
  • 5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
  • 8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
  • 4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
  • 9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB
[磁力链接] 添加时间:2021-03-24 大小:7.9 GB 最近下载:2025-06-02 热度:1056

[DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
  • 6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4 29.2 MB
  • 9. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
[磁力链接] 添加时间:2021-03-24 大小:2.5 GB 最近下载:2025-11-04 热度:2550

[CourseClub.NET] Coursera - Applied Machine Learning in Python

  • 003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
  • 002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
  • 002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
  • 002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
  • 002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
  • 003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
  • 002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
  • 005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
  • 002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
  • 002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
  • 003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB
[磁力链接] 添加时间:2021-03-24 大小:923.9 MB 最近下载:2025-11-05 热度:2740

[FreeCourseSite.com] Udemy - Master Computer Vision™ OpenCV3 in Python & Machine Learning

  • 1. Course Introduction and Setup/7.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 8. Machine Learning in Computer Vision/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4 45.5 MB
  • 8. Machine Learning in Computer Vision/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp4 33.5 MB
  • 2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 32.1 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/4. Mini Project 8 - Yawn Detector and Counter.mp4 31.4 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/2. Sorting Contours - Sort Those Shapes By Size.mp4 31.2 MB
  • 9. Motion Analysis and Object Tracking/2. Background Subtraction and Foreground Subtraction.mp4 31.0 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp4 30.1 MB
  • 7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4 29.7 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp4 26.7 MB
  • 6. Face, People and Car Detection/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 26.2 MB
  • 1. Course Introduction and Setup/4. Installation of OpenCV & Python (Windows).mp4 25.1 MB
  • 2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 24.8 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 23.5 MB
  • 5. Object Detection - Use Computer VIsion To Detect Objects In An Image/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 20.9 MB
  • 9. Motion Analysis and Object Tracking/5. Optical Flow - Track Moving Objects In Videos.mp4 20.8 MB
  • 9. Motion Analysis and Object Tracking/1. Filtering by Color.mp4 19.6 MB
  • 4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 18.5 MB
  • 3. Image Manipulations - The Many Ways You Can Change Images/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 18.5 MB
[磁力链接] 添加时间:2021-03-24 大小:1.1 GB 最近下载:2025-11-03 热度:1034

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
  • 11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 1. Welcome/5. Warmup.mp4 65.7 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
  • 4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • 9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
  • 5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
[磁力链接] 添加时间:2021-03-24 大小:3.3 GB 最近下载:2025-08-09 热度:316

Deployment of Machine Learning Models in Production Python

  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip 246.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4 167.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 115.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4 106.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp4 98.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4 96.2 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp4 89.0 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp4 87.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp4 87.6 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4 84.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp4 81.2 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4 80.2 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp4 77.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp4 77.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp4 74.4 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp4 72.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp4 70.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp4 70.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp4 69.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp4 62.2 MB
[磁力链接] 添加时间:2021-03-23 大小:4.4 GB 最近下载:2025-10-30 热度:2170

[FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

  • 6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Welcome/1. Welcome.mp4 52.1 MB
  • 6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
  • 6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
  • 6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • 6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
  • 4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
  • 3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
  • 3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
  • 6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
  • 2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB
[磁力链接] 添加时间:2021-03-23 大小:987.8 MB 最近下载:2025-08-16 热度:841

[DesireCourse.Com] Udemy - Modern Deep Learning in Python

  • [DesireCourse.Com] Udemy - Modern Deep Learning in Python.zip 415.1 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2021-03-23 大小:415.1 MB 最近下载:2025-11-04 热度:1403

[DesireCourse.Net] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

  • 1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
  • 1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
  • 6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
  • 7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
  • 10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
  • 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
  • 9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
  • 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
  • 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
  • 8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
  • 8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
  • 7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
  • 8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
  • 8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
  • 9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
  • 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
  • 6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
  • 4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
  • 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
  • 3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB
[磁力链接] 添加时间:2021-03-23 大小:2.5 GB 最近下载:2025-10-11 热度:1139


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