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种子名称： [Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python
文件类型： 视频
文件数目： 77个文件
文件大小： 1.45 GB
收录时间： 2020-1-26 20:13
已经下载： 3次
资源热度： 60
最近下载： 2024-6-20 04:12

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[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python.torrent

1. Introduction and Outline/1. Outline - what did you learn previously, and what will you learn in this course.mp414.43MB

1. Introduction and Outline/2. Where does this course fit into your deep learning studies.mp46MB

10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.mp49.45MB

11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp49.82MB

11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp421.44MB

11. Project Facial Expression Recognition/3. The class imbalance problem.mp410.11MB

11. Project Facial Expression Recognition/4. Utilities walkthrough.mp413.49MB

11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp443.98MB

11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp437.39MB

11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp42.91MB

12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.mp44.27MB

12. Modern Regularization Techniques/2. Dropout Regularization.mp422.7MB

12. Modern Regularization Techniques/3. Dropout Intuition.mp46.14MB

12. Modern Regularization Techniques/4. Noise Injection.mp48.64MB

12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.mp43.88MB

13. Batch Normalization/1. Batch Normalization Introduction.mp43.51MB

13. Batch Normalization/2. Exponentially-Smoothed Averages.mp47.38MB

13. Batch Normalization/3. Batch Normalization Theory.mp418.61MB

13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).mp49.44MB

13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp414.92MB

13. Batch Normalization/6. Batch Normalization Theano (part 1).mp47.65MB

13. Batch Normalization/7. Batch Normalization Theano (part 2).mp416.54MB

13. Batch Normalization/8. Noise Perspective.mp43.15MB

13. Batch Normalization/9. Batch Normalization Summary.mp42.6MB

14. Keras/1. Keras Discussion.mp411.25MB

14. Keras/2. Keras in Code.mp414.76MB

14. Keras/3. Keras Functional API.mp438.63MB

15. PyTorch/1. PyTorch Basics.mp4116.8MB

15. PyTorch/2. PyTorch Dropout.mp432.69MB

15. PyTorch/3. PyTorch Batch Norm.mp433.85MB

16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.mp41.31MB

17. Appendix/1. What is the Appendix.mp45.45MB

17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp478.29MB

17. Appendix/11. How to Uncompress a .tar.gz file.mp45.43MB

17. Appendix/12. Python 2 vs Python 3.mp47.83MB

17. Appendix/13. What order should I take your courses in (part 1).mp429.33MB

17. Appendix/14. What order should I take your courses in (part 2).mp437.62MB

17. Appendix/2. What's the difference between neural networks and deep learning.mp445.12MB

17. Appendix/3. Manually Choosing Learning Rate and Regularization Penalty.mp47.77MB

17. Appendix/4. Windows-Focused Environment Setup 2018.mp4186.34MB

17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB

17. Appendix/6. How to Succeed in this Course (Long Version).mp412.99MB

17. Appendix/7. How to Code by Yourself (part 1).mp424.54MB

17. Appendix/8. How to Code by Yourself (part 2).mp414.81MB

17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96MB

2. Review/1. Review of Basic Concepts.mp423.36MB

2. Review/2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp411.12MB

3. Gradient Descent Full vs Batch vs Stochastic/1. What are full, batch, and stochastic gradient descent.mp45.83MB

3. Gradient Descent Full vs Batch vs Stochastic/2. Full vs Batch vs Stochastic Gradient Descent in code.mp413.99MB

4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.mp410.67MB

4. Momentum and adaptive learning rates/2. Nesterov Momentum.mp410.64MB

4. Momentum and adaptive learning rates/3. Momentum in Code.mp414.44MB

4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates.mp418.92MB

4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.mp410.98MB

4. Momentum and adaptive learning rates/6. Adam Optimization.mp419.33MB

4. Momentum and adaptive learning rates/7. Adam in Code.mp413.9MB

5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp45.1MB

5. Choosing Hyperparameters/2. Sampling Logarithmically.mp45.24MB

5. Choosing Hyperparameters/3. Grid Search in Code.mp413.77MB

5. Choosing Hyperparameters/4. Modifying Grid Search.mp42.18MB

5. Choosing Hyperparameters/5. Random Search in Code.mp47.94MB

6. Weight Initialization/1. Weight Initialization Section Introduction.mp41.52MB

6. Weight Initialization/2. Vanishing and Exploding Gradients.mp49.99MB

6. Weight Initialization/3. Weight Initialization.mp413.6MB

6. Weight Initialization/4. Local vs. Global Minima.mp45.12MB

6. Weight Initialization/5. Weight Initialization Section Summary.mp42.69MB

7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp419.35MB

7. Theano/2. Building a neural network in Theano.mp421.79MB

7. Theano/3. Is Theano Dead.mp417.81MB

8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp417.11MB

8. TensorFlow/2. Building a neural network in TensorFlow.mp423.84MB

8. TensorFlow/3. What is a Session (And more).mp423.56MB

9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp425.68MB

9. GPU Speedup, Homework, and Other Misc Topics/2. Can Big Data be used to Speed Up Backpropagation.mp45.22MB

9. GPU Speedup, Homework, and Other Misc Topics/3. Exercises and Concepts Still to be Covered.mp44.46MB

9. GPU Speedup, Homework, and Other Misc Topics/4. How to Improve your Theano and Tensorflow Skills.mp47.33MB

9. GPU Speedup, Homework, and Other Misc Topics/5. Theano vs. TensorFlow.mp49.14MB