[Udemy] Modern Deep Learning in Python (04.2021)

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文档列表

18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 323.8 MB
9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 247.8 MB
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
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 143.0 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.5 MB
2. Review/6. Review Code (pt 2).mp4 133.0 MB
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
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
9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 106.9 MB
11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 101.8 MB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 100.9 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 98.1 MB
15. PyTorch/1. PyTorch Basics.mp4 87.9 MB
13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 80.0 MB
5. Choosing Hyperparameters/3. Grid Search in Code.mp4 71.8 MB
13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 69.7 MB
7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 68.5 MB
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
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 60.4 MB
4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 57.8 MB
13. Batch Normalization/3. Batch Normalization Theory.mp4 56.4 MB
4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2).mp4 55.3 MB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4 54.5 MB
1. Introduction and Outline/1. Introduction and Outline.mp4 54.3 MB
7. Theano/2. Building a neural network in Theano.mp4 52.3 MB
14. Keras/2. Keras in Code.mp4 51.6 MB
12. Modern Regularization Techniques/2. Dropout Regularization.mp4 51.1 MB
1. Introduction and Outline/3. How to Succeed in this Course.mp4 48.8 MB
8. TensorFlow/2. Building a neural network in TensorFlow.mp4 45.5 MB
2. Review/1. Review (pt 1) Neuron Predictions.mp4 42.4 MB
8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 41.1 MB
5. Choosing Hyperparameters/5. Random Search in Code.mp4 40.9 MB
4. Momentum and adaptive learning rates/3. Momentum in Code.mp4 40.0 MB
21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.6 MB
15. PyTorch/3. PyTorch Batch Norm.mp4 38.6 MB
15. PyTorch/2. PyTorch Dropout.mp4 37.5 MB
2. Review/3. Review (pt 3) Artificial Neural Networks.mp4 35.7 MB
11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 35.5 MB
2. Review/4. Review Exercise Prompt.mp4 33.8 MB
9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills.mp4 33.5 MB
8. TensorFlow/3. What is a Session (And more).mp4 32.6 MB
4. Momentum and adaptive learning rates/8. Adam in Code.mp4 32.0 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 30.7 MB
14. Keras/3. Keras Functional API.mp4 30.5 MB
17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning.mp4 28.5 MB
11. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 27.4 MB
2. Review/5. Review Code (pt 1).mp4 27.2 MB
4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.mp4 26.8 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 26.2 MB
4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.mp4 25.4 MB
4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates.mp4 24.6 MB
7. Theano/3. Is Theano Dead.mp4 24.2 MB
2. Review/2. Review (pt 2) Neuron Learning.mp4 23.3 MB
4. Momentum and adaptive learning rates/9. Suggestion Box.mp4 20.3 MB
1. Introduction and Outline/2. Where to get the Code.mp4 17.4 MB
9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow.mp4 17.2 MB
11. Project Facial Expression Recognition/3. The class imbalance problem.mp4 16.5 MB
14. Keras/1. Keras Discussion.mp4 16.0 MB
6. Weight Initialization/3. Weight Initialization.mp4 15.8 MB
12. Modern Regularization Techniques/4. Noise Injection.mp4 15.3 MB
6. Weight Initialization/2. Vanishing and Exploding Gradients.mp4 14.1 MB
10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.mp4 13.7 MB
4. Momentum and adaptive learning rates/2. Nesterov Momentum.mp4 13.5 MB
11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 13.4 MB
13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).mp4 11.9 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3.mp4 10.9 MB
17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty.mp4 10.8 MB
13. Batch Normalization/6. Batch Normalization Theano (part 1).mp4 10.6 MB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt.mp4 10.2 MB
9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation.mp4 9.9 MB
12. Modern Regularization Techniques/3. Dropout Intuition.mp4 9.5 MB
21. Appendix FAQ Finale/1. What is the Appendix.mp4 9.4 MB
9. GPU Speedup, Homework, and Other Misc Topics/4. Exercises and Concepts Still to be Covered.mp4 9.2 MB
6. Weight Initialization/4. Local vs. Global Minima.mp4 8.7 MB
13. Batch Normalization/2. Exponentially-Smoothed Averages.mp4 8.7 MB
12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.mp4 8.4 MB
5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 8.3 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file.mp4 6.7 MB
14. Keras/4. How to easily convert Keras into Tensorflow 2.0 code.mp4 6.5 MB
12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.mp4 5.5 MB
5. Choosing Hyperparameters/2. Sampling Logarithmically.mp4 5.5 MB
2. Review/7. Review Summary.mp4 4.6 MB
11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 3.9 MB
13. Batch Normalization/1. Batch Normalization Introduction.mp4 3.7 MB
6. Weight Initialization/5. Weight Initialization Section Summary.mp4 3.6 MB
13. Batch Normalization/8. Noise Perspective.mp4 3.4 MB
13. Batch Normalization/9. Batch Normalization Summary.mp4 3.1 MB
5. Choosing Hyperparameters/4. Modifying Grid Search.mp4 2.5 MB
16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.mp4 1.9 MB
6. Weight Initialization/1. Weight Initialization Section Introduction.mp4 1.8 MB
9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer-en_US.srt 31.8 kB
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-en_US.srt 31.4 kB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt 23.2 kB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt 22.2 kB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory)-en_US.srt 21.0 kB
18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt 19.5 kB
8. TensorFlow/3. What is a Session (And more)-en_US.srt 18.3 kB
2. Review/1. Review (pt 1) Neuron Predictions-en_US.srt 17.5 kB
4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1)-en_US.srt 16.4 kB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt 16.4 kB
2. Review/6. Review Code (pt 2)-en_US.srt 15.3 kB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano-en_US.srt 15.2 kB
11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description-en_US.srt 15.2 kB
4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates-en_US.srt 14.9 kB
2. Review/3. Review (pt 3) Artificial Neural Networks-en_US.srt 14.8 kB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2)-en_US.srt 14.6 kB
15. PyTorch/1. PyTorch Basics-en_US.srt 14.6 kB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt 14.5 kB
12. Modern Regularization Techniques/2. Dropout Regularization-en_US.srt 14.5 kB
4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2)-en_US.srt 14.3 kB
18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt 14.0 kB
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-en_US.srt 13.8 kB
13. Batch Normalization/3. Batch Normalization Theory-en_US.srt 13.8 kB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1)-en_US.srt 13.7 kB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt 13.1 kB
7. Theano/3. Is Theano Dead-en_US.srt 13.0 kB
1. Introduction and Outline/1. Introduction and Outline-en_US.srt 12.3 kB
11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow-en_US.srt 12.3 kB
2. Review/2. Review (pt 2) Neuron Learning-en_US.srt 12.0 kB
6. Weight Initialization/3. Weight Initialization-en_US.srt 10.4 kB
17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning-en_US.srt 10.1 kB
5. Choosing Hyperparameters/3. Grid Search in Code-en_US.srt 9.1 kB
14. Keras/1. Keras Discussion-en_US.srt 9.0 kB
9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow-en_US.srt 8.4 kB
1. Introduction and Outline/3. How to Succeed in this Course-en_US.srt 8.1 kB
6. Weight Initialization/2. Vanishing and Exploding Gradients-en_US.srt 8.0 kB
13. Batch Normalization/7. Batch Normalization Theano (part 2)-en_US.srt 7.9 kB
4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training-en_US.srt 7.7 kB
21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt 7.7 kB
11. Project Facial Expression Recognition/3. The class imbalance problem-en_US.srt 7.5 kB
2. Review/4. Review Exercise Prompt-en_US.srt 7.5 kB
4. Momentum and adaptive learning rates/2. Nesterov Momentum-en_US.srt 7.3 kB
14. Keras/2. Keras in Code-en_US.srt 7.3 kB
1. Introduction and Outline/2. Where to get the Code-en_US.srt 7.3 kB
7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt 7.2 kB
2. Review/5. Review Code (pt 1)-en_US.srt 7.0 kB
12. Modern Regularization Techniques/4. Noise Injection-en_US.srt 6.9 kB
10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course-en_US.srt 6.6 kB
4. Momentum and adaptive learning rates/8. Adam in Code-en_US.srt 6.6 kB
11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction-en_US.srt 6.6 kB
13. Batch Normalization/4. Batch Normalization Tensorflow (part 1)-en_US.srt 6.6 kB
13. Batch Normalization/5. Batch Normalization Tensorflow (part 2)-en_US.srt 6.5 kB
4. Momentum and adaptive learning rates/3. Momentum in Code-en_US.srt 6.3 kB
9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills-en_US.srt 6.0 kB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3-en_US.srt 6.0 kB
8. TensorFlow/2. Building a neural network in TensorFlow-en_US.srt 5.9 kB
8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt 5.8 kB
11. Project Facial Expression Recognition/4. Utilities walkthrough-en_US.srt 5.5 kB
17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt 5.4 kB
13. Batch Normalization/2. Exponentially-Smoothed Averages-en_US.srt 5.4 kB
13. Batch Normalization/6. Batch Normalization Theano (part 1)-en_US.srt 5.3 kB
14. Keras/3. Keras Functional API-en_US.srt 5.1 kB
5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt 4.7 kB
5. Choosing Hyperparameters/5. Random Search in Code-en_US.srt 4.6 kB
4. Momentum and adaptive learning rates/9. Suggestion Box-en_US.srt 4.6 kB
12. Modern Regularization Techniques/3. Dropout Intuition-en_US.srt 4.5 kB
9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services-en_US.srt 4.4 kB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt-en_US.srt 4.4 kB
9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation-en_US.srt 4.2 kB
4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code-en_US.srt 4.0 kB
5. Choosing Hyperparameters/2. Sampling Logarithmically-en_US.srt 3.9 kB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file-en_US.srt 3.9 kB
7. Theano/2. Building a neural network in Theano-en_US.srt 3.8 kB
21. Appendix FAQ Finale/1. What is the Appendix-en_US.srt 3.7 kB
6. Weight Initialization/4. Local vs. Global Minima-en_US.srt 3.5 kB
15. PyTorch/2. PyTorch Dropout-en_US.srt 3.1 kB
15. PyTorch/3. PyTorch Batch Norm-en_US.srt 3.0 kB
12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction-en_US.srt 2.9 kB
9. GPU Speedup, Homework, and Other Misc Topics/4. Exercises and Concepts Still to be Covered-en_US.srt 2.8 kB
12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary-en_US.srt 2.6 kB
13. Batch Normalization/1. Batch Normalization Introduction-en_US.srt 2.5 kB
13. Batch Normalization/8. Noise Perspective-en_US.srt 2.4 kB
6. Weight Initialization/5. Weight Initialization Section Summary-en_US.srt 2.1 kB
13. Batch Normalization/9. Batch Normalization Summary-en_US.srt 2.1 kB
14. Keras/4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt 1.9 kB
5. Choosing Hyperparameters/4. Modifying Grid Search-en_US.srt 1.9 kB
11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary-en_US.srt 1.7 kB
2. Review/7. Review Summary-en_US.srt 1.3 kB
6. Weight Initialization/1. Weight Initialization Section Introduction-en_US.srt 1.2 kB
16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet-en_US.srt 1.1 kB
1. Introduction and Outline/2. External URLs.txt 75 Bytes

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