[Udemy] Modern Deep Learning in Python (04.2021)

Creation Time	Aug. 19, 2023, 12:51 a.m.
Last Access Time	Nov. 5, 2024, 10:04 p.m.
File Size	3.7 GB
Keywords	04 Python Modern Deep Udemy 2021 Learning in
Total Requests	72
Total Files	181
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18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 308.8 MB
9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 236.3 MB
18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 192.0 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 136.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 134.9 MB
2. Review/6. Review Code (pt 2).mp4 126.8 MB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 110.6 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 108.5 MB
9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 101.9 MB
11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 97.1 MB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 96.2 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 93.6 MB
15. PyTorch/1. PyTorch Basics.mp4 83.9 MB
13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 76.3 MB
5. Choosing Hyperparameters/3. Grid Search in Code.mp4 68.5 MB
13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 66.5 MB
7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 65.3 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 60.2 MB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 57.6 MB
4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 55.2 MB
13. Batch Normalization/3. Batch Normalization Theory.mp4 53.8 MB
4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2).mp4 52.8 MB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4 52.0 MB
1. Introduction and Outline/1. Introduction and Outline.mp4 51.8 MB
7. Theano/2. Building a neural network in Theano.mp4 49.9 MB
14. Keras/2. Keras in Code.mp4 49.2 MB
12. Modern Regularization Techniques/2. Dropout Regularization.mp4 48.8 MB
1. Introduction and Outline/3. How to Succeed in this Course.mp4 46.5 MB
8. TensorFlow/2. Building a neural network in TensorFlow.mp4 43.4 MB
2. Review/1. Review (pt 1) Neuron Predictions.mp4 40.5 MB
8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 39.2 MB
5. Choosing Hyperparameters/5. Random Search in Code.mp4 39.0 MB
4. Momentum and adaptive learning rates/3. Momentum in Code.mp4 38.1 MB
21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.8 MB
15. PyTorch/3. PyTorch Batch Norm.mp4 36.8 MB
15. PyTorch/2. PyTorch Dropout.mp4 35.8 MB
2. Review/3. Review (pt 3) Artificial Neural Networks.mp4 34.1 MB
11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 33.8 MB
2. Review/4. Review Exercise Prompt.mp4 32.2 MB
9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills.mp4 31.9 MB
8. TensorFlow/3. What is a Session (And more).mp4 31.1 MB
4. Momentum and adaptive learning rates/8. Adam in Code.mp4 30.5 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 29.3 MB
14. Keras/3. Keras Functional API.mp4 29.1 MB
17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning.mp4 27.2 MB
11. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 26.1 MB
2. Review/5. Review Code (pt 1).mp4 25.9 MB
4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.mp4 25.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 24.9 MB
4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.mp4 24.2 MB
4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates.mp4 23.5 MB
7. Theano/3. Is Theano Dead.mp4 23.1 MB
2. Review/2. Review (pt 2) Neuron Learning.mp4 22.2 MB
4. Momentum and adaptive learning rates/9. Suggestion Box.mp4 19.4 MB
1. Introduction and Outline/2. Where to get the Code.mp4 16.6 MB
9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow.mp4 16.4 MB
11. Project Facial Expression Recognition/3. The class imbalance problem.mp4 15.7 MB
14. Keras/1. Keras Discussion.mp4 15.3 MB
6. Weight Initialization/3. Weight Initialization.mp4 15.0 MB
12. Modern Regularization Techniques/4. Noise Injection.mp4 14.6 MB
6. Weight Initialization/2. Vanishing and Exploding Gradients.mp4 13.5 MB
10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.mp4 13.0 MB
4. Momentum and adaptive learning rates/2. Nesterov Momentum.mp4 12.9 MB
11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 12.7 MB
13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).mp4 11.3 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3.mp4 10.4 MB
17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty.mp4 10.3 MB
13. Batch Normalization/6. Batch Normalization Theano (part 1).mp4 10.1 MB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt.mp4 9.7 MB
9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation.mp4 9.4 MB
12. Modern Regularization Techniques/3. Dropout Intuition.mp4 9.1 MB
21. Appendix FAQ Finale/1. What is the Appendix.mp4 8.9 MB
9. GPU Speedup, Homework, and Other Misc Topics/4. Exercises and Concepts Still to be Covered.mp4 8.7 MB
6. Weight Initialization/4. Local vs. Global Minima.mp4 8.3 MB
13. Batch Normalization/2. Exponentially-Smoothed Averages.mp4 8.3 MB
12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.mp4 8.0 MB
5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 7.9 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file.mp4 6.4 MB
14. Keras/4. How to easily convert Keras into Tensorflow 2.0 code.mp4 6.2 MB
12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.mp4 5.3 MB
5. Choosing Hyperparameters/2. Sampling Logarithmically.mp4 5.2 MB
2. Review/7. Review Summary.mp4 4.3 MB
11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 3.8 MB
13. Batch Normalization/1. Batch Normalization Introduction.mp4 3.5 MB
6. Weight Initialization/5. Weight Initialization Section Summary.mp4 3.5 MB
13. Batch Normalization/8. Noise Perspective.mp4 3.3 MB
13. Batch Normalization/9. Batch Normalization Summary.mp4 3.0 MB
5. Choosing Hyperparameters/4. Modifying Grid Search.mp4 2.4 MB
16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.mp4 1.8 MB
6. Weight Initialization/1. Weight Initialization Section Introduction.mp4 1.7 MB
9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer-en_US.srt 31.1 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 30.7 KB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt 22.7 KB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt 21.7 KB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory)-en_US.srt 20.5 KB
18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt 19.0 KB
8. TensorFlow/3. What is a Session (And more)-en_US.srt 17.8 KB
2. Review/1. Review (pt 1) Neuron Predictions-en_US.srt 17.1 KB
4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1)-en_US.srt 16.1 KB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt 16.0 KB
2. Review/6. Review Code (pt 2)-en_US.srt 14.9 KB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano-en_US.srt 14.9 KB
11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description-en_US.srt 14.8 KB
4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates-en_US.srt 14.6 KB
2. Review/3. Review (pt 3) Artificial Neural Networks-en_US.srt 14.5 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 14.3 KB
15. PyTorch/1. PyTorch Basics-en_US.srt 14.2 KB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt 14.2 KB
12. Modern Regularization Techniques/2. Dropout Regularization-en_US.srt 14.1 KB
4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2)-en_US.srt 13.9 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 13.6 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 13.5 KB
13. Batch Normalization/3. Batch Normalization Theory-en_US.srt 13.5 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 13.3 KB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt 12.8 KB
7. Theano/3. Is Theano Dead-en_US.srt 12.7 KB
1. Introduction and Outline/1. Introduction and Outline-en_US.srt 12.0 KB
11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow-en_US.srt 12.0 KB
2. Review/2. Review (pt 2) Neuron Learning-en_US.srt 11.7 KB
6. Weight Initialization/3. Weight Initialization-en_US.srt 10.1 KB
17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning-en_US.srt 9.8 KB
5. Choosing Hyperparameters/3. Grid Search in Code-en_US.srt 8.9 KB
14. Keras/1. Keras Discussion-en_US.srt 8.8 KB
9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow-en_US.srt 8.2 KB
1. Introduction and Outline/3. How to Succeed in this Course-en_US.srt 7.9 KB
6. Weight Initialization/2. Vanishing and Exploding Gradients-en_US.srt 7.8 KB
13. Batch Normalization/7. Batch Normalization Theano (part 2)-en_US.srt 7.7 KB
4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training-en_US.srt 7.5 KB
21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt 7.5 KB
11. Project Facial Expression Recognition/3. The class imbalance problem-en_US.srt 7.4 KB
2. Review/4. Review Exercise Prompt-en_US.srt 7.3 KB
4. Momentum and adaptive learning rates/2. Nesterov Momentum-en_US.srt 7.2 KB
14. Keras/2. Keras in Code-en_US.srt 7.2 KB
1. Introduction and Outline/2. Where to get the Code-en_US.srt 7.1 KB
7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt 7.0 KB
2. Review/5. Review Code (pt 1)-en_US.srt 6.9 KB
12. Modern Regularization Techniques/4. Noise Injection-en_US.srt 6.7 KB
10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course-en_US.srt 6.4 KB
4. Momentum and adaptive learning rates/8. Adam in Code-en_US.srt 6.4 KB
11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction-en_US.srt 6.4 KB
13. Batch Normalization/4. Batch Normalization Tensorflow (part 1)-en_US.srt 6.4 KB
13. Batch Normalization/5. Batch Normalization Tensorflow (part 2)-en_US.srt 6.3 KB
4. Momentum and adaptive learning rates/3. Momentum in Code-en_US.srt 6.1 KB
9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills-en_US.srt 5.9 KB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3-en_US.srt 5.8 KB
8. TensorFlow/2. Building a neural network in TensorFlow-en_US.srt 5.7 KB
8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt 5.7 KB
11. Project Facial Expression Recognition/4. Utilities walkthrough-en_US.srt 5.4 KB
17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt 5.3 KB
13. Batch Normalization/2. Exponentially-Smoothed Averages-en_US.srt 5.3 KB
13. Batch Normalization/6. Batch Normalization Theano (part 1)-en_US.srt 5.2 KB
14. Keras/3. Keras Functional API-en_US.srt 5.0 KB
5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt 4.6 KB
5. Choosing Hyperparameters/5. Random Search in Code-en_US.srt 4.5 KB
4. Momentum and adaptive learning rates/9. Suggestion Box-en_US.srt 4.5 KB
12. Modern Regularization Techniques/3. Dropout Intuition-en_US.srt 4.4 KB
9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services-en_US.srt 4.3 KB
3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt-en_US.srt 4.3 KB
9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation-en_US.srt 4.1 KB
4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code-en_US.srt 3.9 KB
5. Choosing Hyperparameters/2. Sampling Logarithmically-en_US.srt 3.8 KB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file-en_US.srt 3.8 KB
7. Theano/2. Building a neural network in Theano-en_US.srt 3.7 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 3.4 KB
15. PyTorch/2. PyTorch Dropout-en_US.srt 3.0 KB
15. PyTorch/3. PyTorch Batch Norm-en_US.srt 2.9 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 2.7 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 2.4 KB
13. Batch Normalization/8. Noise Perspective-en_US.srt 2.3 KB
6. Weight Initialization/5. Weight Initialization Section Summary-en_US.srt 2.0 KB
13. Batch Normalization/9. Batch Normalization Summary-en_US.srt 2.0 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 1.8 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 1.0 KB
1. Introduction and Outline/2. External URLs.txt 75 bytes

[Udemy] Modern Deep Learning in Python (04.2021)

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