learning python -移花宫 -武林禁地，闲人禁止入内

[FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks in Python

8. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
8. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 24.6 MB

[磁力链接] 添加时间:2021-03-08 大小:1.5 GB 最近下载:2025-08-18 热度:1910

Machine Learning Data Science and Deep Learning with Python

Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/7. [Activity] Decision Trees in Spark.mp4 202.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 2.mp4 180.7 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/10. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB

[磁力链接] 添加时间:2021-05-27 大小:8.0 GB 最近下载:2025-10-26 热度:1909

Modern Deep Learning in Python

[TutsNode.com] - Modern Deep Learning in Python/18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 323.8 MB
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 247.8 MB
[TutsNode.com] - Modern Deep Learning in Python/18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 201.4 MB
[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 143.0 MB
[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.5 MB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/6. Review Code (pt 2).mp4 133.0 MB
[TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 115.9 MB
[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 106.9 MB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 101.8 MB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 100.9 MB
[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 98.1 MB
[TutsNode.com] - Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics.mp4 87.9 MB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 80.0 MB
[TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/3. Grid Search in Code.mp4 71.8 MB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 69.7 MB
[TutsNode.com] - Modern Deep Learning in Python/7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 68.5 MB
[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 63.1 MB
[TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 60.4 MB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 57.8 MB

[磁力链接] 添加时间:2022-03-19 大小:4.0 GB 最近下载:2025-10-21 热度:1907

Datacamp – Machine Learning Scientist with Python 2023

Datacamp - Advanced Deep Learning with Keras 2023-8/chapter-1-the-keras-functional-api/videos/ch1_3.mp4 15.4 MB
Datacamp - Extreme Gradient Boosting with XGBoost 2023-8/chapter-2-regression-with-xgboost/videos/ch2_3.mp4 15.3 MB
Datacamp - Image Processing in Python 2023-8/chapter-3-image-restoration-noise-segmentation-and-contours/chapter3.pdf 14.4 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-3-going-deeper/videos/ch3_2.mp4 14.2 MB
Datacamp - Extreme Gradient Boosting with XGBoost 2023-8/chapter-1-classification-with-xgboost/videos/ch1_4.mp4 14.0 MB
Datacamp - Advanced Deep Learning with Keras 2023-8/chapter-1-the-keras-functional-api/videos/ch1_1.mp4 13.9 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-2-using-convolutions/videos/ch2_3.mp4 13.7 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-2-using-convolutions/videos/ch2_1.mp4 13.4 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-1-image-processing-with-neural-networks/videos/ch1_1.mp4 13.2 MB
Datacamp - Advanced Deep Learning with Keras 2023-8/chapter-4-multiple-outputs/videos/ch4_2.mp4 13.2 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-4-understanding-and-improving-deep-convolutional-networks/videos/ch4_4.mp4 13.1 MB
Datacamp - Feature Engineering for Machine Learning in Python 2023-8/chapter-1-creating-features/videos/ch1_2.mp4 13.1 MB
Datacamp - Image Processing in Python 2023-8/chapter-2-filters-contrast-transformation-and-morphology/chapter2.pdf 13.1 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-2-using-convolutions/videos/ch2_2.mp4 12.6 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-1-image-processing-with-neural-networks/videos/ch1_3.mp4 12.6 MB
Datacamp - Unsupervised Learning in Python 2023-8/chapter-2-visualization-with-hierarchical-clustering-and-t-sne/videos/ch2_1.mp4 12.6 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-3-going-deeper/videos/ch3_1.mp4 12.5 MB
Datacamp - Image Processing with Keras in Python 2023-8/chapter-4-understanding-and-improving-deep-convolutional-networks/videos/ch4_2.mp4 12.3 MB
Datacamp - Unsupervised Learning in Python 2023-8/chapter-1-clustering-for-dataset-exploration/videos/ch1_1.mp4 12.3 MB
Datacamp - Extreme Gradient Boosting with XGBoost 2023-8/chapter-2-regression-with-xgboost/videos/ch2_2.mp4 12.2 MB

[磁力链接] 添加时间:2024-05-23 大小:2.5 GB 最近下载:2025-10-20 热度:1898

Machine Learning A-Z™ Hands-On Python & R In Data Science

[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/36 Kernel PCA/264 Kernel PCA in R.mp4 59.3 MB
Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
TutsGalaxy.com.txt 41 Bytes
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/001 Applications of Machine Learning-subtitle-en.srt 5.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/001 Applications of Machine Learning.mp4 8.4 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/002 Why Machine Learning is the Future-subtitle-en.srt 9.8 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 13.4 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt 9.4 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 18.4 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/004 Update_ Recommended Anaconda Version.html 2.3 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt 12.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 20.5 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/006 BONUS_ Meet your instructors.html 2.2 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt 2.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 3.1 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset-subtitle-en.srt 11.4 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 22.2 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries-subtitle-en.srt 8.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.6 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset-subtitle-en.srt 19.1 kB

[磁力链接] 添加时间:2018-02-25 大小:5.9 GB 最近下载:2025-10-26 热度:1896

Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science

Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part02.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part05.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part04.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part03.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part11.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part09.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part07.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part10.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part06.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part01.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part08.rar 2.1 GB
Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part12.rar 985.1 MB

[磁力链接] 添加时间:2021-03-13 大小:24.6 GB 最近下载:2025-10-26 热度:1896

[ DevCourseWeb.com ] Deep Learning with Python - Optimizing Deep Learning Models

~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/05 - Using KerasTuner for hyperparameter tuning.mp4 24.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/07 - Training a deep learning model using callbacks.mp4 21.0 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/04 - Defining a tunable deep learning model in Keras.mp4 18.8 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/02 - Key hyperparameters in deep learning.mp4 15.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/06 - Learning rate scheduling.mp4 11.6 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/01 - Common loss functions in deep learning.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/03 - Methods for hyperparameter tuning.mp4 10.8 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/07 - Applying dropout regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/03 - Applying L1 regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/01 - Parameters versus hyperparameters.mp4 10.2 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/04 - Applying L2 regularization to a deep learning model.mp4 10.0 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/03 - Gradient clipping.mp4 9.9 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/04 - Applying gradient clipping to a deep learning model.mp4 9.4 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/05 - Adaptive Gradient Algorithm (AdaGrad).mp4 9.1 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/02 - Applying batch normalization to a deep learning model.mp4 8.4 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/02 - Lasso and ridge regularization.mp4 7.8 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/08 - Adaptive Moment Estimation (Adam).mp4 6.4 MB
~Get Your Files Here !/07 - Conclusion/01 - Continuing to optimize deep learning models.mp4 6.4 MB
~Get Your Files Here !/02 - 1. Optimizing Deep Learning Models/01 - The importance of optimizing deep learning models.mp4 6.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/01 - The bias-variance trade-off.mp4 6.1 MB

[磁力链接] 添加时间:2025-03-08 大小:276.3 MB 最近下载:2025-10-27 热度:1891

[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python

11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB

[磁力链接] 添加时间:2021-03-21 大小:2.0 GB 最近下载:2025-10-26 热度:1878

[ DevCourseWeb.com ] Udemy - Machine Learning - Beginner Reinforcement Learning in Python.zip

[ DevCourseWeb.com ] Udemy - Machine Learning - Beginner Reinforcement Learning in Python.zip 726.6 MB

[磁力链接] 添加时间:2021-03-07 大小:726.6 MB 最近下载:2025-10-23 热度:1872

[FreeCoursesOnline.Me] [Coursera] Applied Machine Learning in Python - [FCO]

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:2021-03-10 大小:924.2 MB 最近下载:2025-10-22 热度:1866

[UdemyCourseDownloader] Learning Python for Data Analysis and Visualization

10 Machine Learning/086 Decision Trees and Random Forests.mp4 243.4 MB
udemycoursedownloader.com.url 132 Bytes
01 Intro to Course and Python/001 Course Intro.mp4 13.9 MB
01 Intro to Course and Python/002 Course FAQs.html 7.4 kB
02 Setup/003 Installation Setup and Overview.mp4 39.5 MB
02 Setup/004 IDEs and Course Resources.mp4 40.4 MB
02 Setup/005 iPythonJupyter Notebook Overview.mp4 60.6 MB
02 Setup/attached_files/005 iPythonJupyter Notebook Overview/Lecture-4-Info.txt 176 Bytes
03 Learning Numpy/006 Intro to numpy.html 1.2 kB
03 Learning Numpy/007 Creating arrays.mp4 13.7 MB
03 Learning Numpy/008 Using arrays and scalars.mp4 8.3 MB
03 Learning Numpy/009 Indexing Arrays.mp4 27.4 MB
03 Learning Numpy/010 Array Transposition.mp4 7.9 MB
03 Learning Numpy/011 Universal Array Function.mp4 15.7 MB
03 Learning Numpy/012 Array Processing.mp4 43.0 MB
03 Learning Numpy/013 Array Input and Output.mp4 14.7 MB
04 Intro to Pandas/014 Series.mp4 25.9 MB
04 Intro to Pandas/015 DataFrames.mp4 55.4 MB
04 Intro to Pandas/016 Index objects.mp4 9.7 MB
04 Intro to Pandas/017 Reindex.mp4 33.8 MB

[磁力链接] 添加时间:2018-11-23 大小:4.3 GB 最近下载:2025-10-27 热度:1865

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - from DQN to SAC

~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/003 Create the robotics task.mp4 77.6 MB
~Get Your Files Here !/13 - Hindsight Experience Replay/004 Implement Hindsight Experience Replay (HER) - Part 3.mp4 77.3 MB
~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/007 Implement the Soft Actor-Critic algorithm - Part 2.mp4 69.9 MB
~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/011 Define the training step.mp4 60.7 MB
~Get Your Files Here !/06 - PyTorch Lightning/008 Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/005 Create the gradient policy.mp4 56.4 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/006 Stochastic Gradient Descent.mp4 52.3 MB
~Get Your Files Here !/06 - PyTorch Lightning/011 Define the train_step() method.mp4 52.2 MB
~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/010 Creating the (NAF) Deep Q-Network 4.mp4 50.2 MB
~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/006 Create the gradient policy.mp4 45.6 MB
~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/015 Create the (NAF) Deep Q-Learning algorithm.mp4 45.0 MB
~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/007 Creating the (NAF) Deep Q-Network 1.mp4 43.4 MB
~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/006 Implement the Soft Actor-Critic algorithm - Part 1.mp4 42.0 MB
~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/008 Create the DDPG class.mp4 40.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 Elements common to all control tasks.mp4 40.6 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/005 How to represent a Neural Network.mp4 40.0 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/002 Function approximators.mp4 38.1 MB
~Get Your Files Here !/06 - PyTorch Lightning/014 Train the Deep Q-Learning algorithm.mp4 36.7 MB
~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/012 Launch the training process.mp4 35.9 MB
~Get Your Files Here !/13 - Hindsight Experience Replay/002 Implement Hindsight Experience Replay (HER) - Part 1.mp4 35.6 MB

[磁力链接] 添加时间:2023-12-28 大小:2.6 GB 最近下载:2025-10-24 热度:1859

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

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 129.0 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB

[磁力链接] 添加时间:2021-03-08 大小:3.5 GB 最近下载:2025-10-26 热度:1849

Learning Python for Data Science [Video]

4.Data Preparation and Manipulation with Pandas/13.Read in Data Files.mp4 108.4 MB
1.Beginning the Data Science Journey/02.What Is Data Science.mp4 29.1 MB
1.Beginning the Data Science Journey/03.Python Data Science Ecosystem.mp4 4.7 MB
2.Introducing Jupyter/04.Installing Anaconda.mp4 2.7 MB
2.Introducing Jupyter/05.Starting Jupyter.mp4 10.5 MB
2.Introducing Jupyter/06.Basics of Jupyter.mp4 4.2 MB
2.Introducing Jupyter/07.Markdown Syntax.mp4 5.0 MB
3.Understanding Numerical Operations with NumPy/08.1D Arrays with NumPy.mp4 14.9 MB
3.Understanding Numerical Operations with NumPy/09.2D Arrays with NumPy.mp4 25.1 MB
3.Understanding Numerical Operations with NumPy/10.Functions in NumPy.mp4 21.7 MB
3.Understanding Numerical Operations with NumPy/11.Random Numbers and Distributions in NumPy.mp4 17.4 MB
4.Data Preparation and Manipulation with Pandas/12.Create DataFrames.mp4 67.4 MB
1.Beginning the Data Science Journey/01.The Course Overview.mp4 3.8 MB
4.Data Preparation and Manipulation with Pandas/14.Subsetting DataFrames.mp4 13.2 MB
4.Data Preparation and Manipulation with Pandas/15.Boolean Indexing in DataFrames.mp4 12.6 MB
4.Data Preparation and Manipulation with Pandas/16.Summarizing and Grouping Data.mp4 14.9 MB
5.Visualizing Data with Matplotlib and Seaborn/17.Matplotlib Introduction.mp4 23.4 MB
5.Visualizing Data with Matplotlib and Seaborn/18.Graphs with Matplotlib.mp4 16.4 MB
5.Visualizing Data with Matplotlib and Seaborn/19.Graphs with Seaborn.mp4 31.3 MB
5.Visualizing Data with Matplotlib and Seaborn/20.Graphs with Pandas.mp4 21.0 MB

[磁力链接] 添加时间:2018-08-03 大小:705.8 MB 最近下载:2025-10-26 热度:1845

[DesireCourse.Com] Udemy - Data Science Deep Learning in Python

[DesireCourse.Com] Udemy - Data Science Deep Learning in Python.zip 581.0 MB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2018-11-28 大小:581.0 MB 最近下载:2025-09-13 热度:1845

[DesireCourse.Net] Udemy - Machine Learning Basics Classification models in Python

2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.8 MB
5. Data Preprocessing/7. EDD in Python.mp4 101.8 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 91.9 MB
6. Classification Models/21. K-Nearest Neighbors classifier.mp4 87.6 MB
3. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.2 MB
4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
6. Classification Models/11. Making Confusion Matrix in Python.mp4 67.9 MB
6. Classification Models/4. Training a Simple Logistic Model in Python.mp4 64.2 MB
5. Data Preprocessing/10. Outlier treatment in Python.mp4 61.3 MB
4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 59.1 MB
4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.7 MB
6. Classification Models/23. K-Nearest Neighbors in Python Part 2.mp4 54.5 MB
4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 53.8 MB
4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4 51.2 MB
6. Classification Models/15. Linear Discriminant Analysis.mp4 51.0 MB
6. Classification Models/25. Understanding the results of classification models.mp4 48.2 MB
6. Classification Models/22. K-Nearest Neighbors in Python Part 1.mp4 48.1 MB
6. Classification Models/18. Test-Train Split.mp4 47.9 MB

[磁力链接] 添加时间:2021-03-14 大小:2.3 GB 最近下载:2025-10-27 热度:1845

[ DevCourseWeb.com ] Udemy - Learn Machine Learning Course with Python A to Z

~Get Your Files Here !/8. Hierarchical Clustering.mp4 86.3 MB
~Get Your Files Here !/3. Confusion Matrix.mp4 68.7 MB
~Get Your Files Here !/7. Grid Search.mp4 65.6 MB
~Get Your Files Here !/6. Decision Tree.mp4 65.3 MB
~Get Your Files Here !/9. K-Means Clustering.mp4 56.0 MB
~Get Your Files Here !/4. Cross Validation.mp4 49.8 MB
~Get Your Files Here !/1. Bootstrap Aggregation.mp4 48.9 MB
~Get Your Files Here !/5. Data Distribution.mp4 45.5 MB
~Get Your Files Here !/2. Categorical Data.mp4 42.3 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

[磁力链接] 添加时间:2024-02-28 大小:528.5 MB 最近下载:2025-10-26 热度:1830

GetFreeCourses.Co-Udemy-Deep Learning Recurrent Neural Networks with Python

07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB

[磁力链接] 添加时间:2022-01-29 大小:4.7 GB 最近下载:2025-10-26 热度:1821

[FreeCourseLab.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB

[磁力链接] 添加时间:2021-03-23 大小:6.2 GB 最近下载:2025-10-25 热度:1819

[DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python

6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB

[磁力链接] 添加时间:2021-04-25 大小:7.3 GB 最近下载:2025-10-26 热度:1817