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Modern Deep Learning in Python

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Modern Deep Learning in Python

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1640876D6BD39FC5C464B869655790A9ED46AB55

/.../18. Setting Up Your Environment (FAQ by Student Request)/

1. Windows-Focused Environment Setup 2018.mp4

323.8 MB

TutsNode.com.txt

0.1 KB

[TGx]Downloaded from torrentgalaxy.to .txt

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/.../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

2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4

247.8 MB

6. Theano vs. TensorFlow-en_US.srt

8.4 KB

5. How to Improve your Theano and Tensorflow Skills-en_US.srt

6.0 KB

1. Setting up a GPU Instance on Amazon Web Services-en_US.srt

4.4 KB

3. Can Big Data be used to Speed Up Backpropagation-en_US.srt

4.2 KB

4. Exercises and Concepts Still to be Covered-en_US.srt

2.8 KB

1. Setting up a GPU Instance on Amazon Web Services.mp4

106.9 MB

5. How to Improve your Theano and Tensorflow Skills.mp4

33.5 MB

6. Theano vs. TensorFlow.mp4

17.2 MB

3. Can Big Data be used to Speed Up Backpropagation.mp4

9.9 MB

4. Exercises and Concepts Still to be Covered.mp4

9.2 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-en_US.srt

31.4 KB

4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt

23.2 KB

3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt

16.4 KB

1. How to Succeed in this Course (Long Version)-en_US.srt

14.5 KB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4

143.0 MB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4

141.5 MB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

63.1 MB

1. How to Succeed in this Course (Long Version).mp4

26.2 MB

/.../1. Introduction and Outline/

2. External URLs.txt

0.1 KB

1. Introduction and Outline-en_US.srt

12.3 KB

3. How to Succeed in this Course-en_US.srt

8.1 KB

2. Where to get the Code-en_US.srt

7.3 KB

1. Introduction and Outline.mp4

54.3 MB

3. How to Succeed in this Course.mp4

48.8 MB

2. Where to get the Code.mp4

17.4 MB

/.../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. Proof that using Jupyter Notebook is the same as not using it-en_US.srt

13.8 KB

2. How to Code by Yourself (part 2)-en_US.srt

13.1 KB

5. Python 2 vs Python 3-en_US.srt

6.0 KB

4. How to Uncompress a .tar.gz file-en_US.srt

3.9 KB

3. Proof that using Jupyter Notebook is the same as not using it.mp4

113.7 MB

1. How to Code by Yourself (part 1).mp4

98.1 MB

2. How to Code by Yourself (part 2).mp4

30.7 MB

5. Python 2 vs Python 3.mp4

10.9 MB

4. How to Uncompress a .tar.gz file.mp4

6.7 MB

/.../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

4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2)-en_US.srt

14.6 KB

3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1)-en_US.srt

13.7 KB

2. SGD Exercise Prompt-en_US.srt

4.4 KB

4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4

115.9 MB

1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4

60.4 MB

3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4

54.5 MB

2. SGD Exercise Prompt.mp4

10.2 MB

/.../18. Setting Up Your Environment (FAQ by Student Request)/

1. Windows-Focused Environment Setup 2018-en_US.srt

19.5 KB

2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt

14.0 KB

2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

201.4 MB

/8. TensorFlow/

3. What is a Session (And more)-en_US.srt

18.3 KB

2. Building a neural network in TensorFlow-en_US.srt

5.9 KB

1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt

5.9 KB

2. Building a neural network in TensorFlow.mp4

45.5 MB

1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4

41.1 MB

3. What is a Session (And more).mp4

32.6 MB

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/2. Review/

1. Review (pt 1) Neuron Predictions-en_US.srt

17.5 KB

6. Review Code (pt 2)-en_US.srt

15.3 KB

3. Review (pt 3) Artificial Neural Networks-en_US.srt

14.8 KB

7. Review Summary-en_US.srt

1.3 KB

2. Review (pt 2) Neuron Learning-en_US.srt

12.0 KB

4. Review Exercise Prompt-en_US.srt

7.5 KB

5. Review Code (pt 1)-en_US.srt

7.0 KB

6. Review Code (pt 2).mp4

133.0 MB

1. Review (pt 1) Neuron Predictions.mp4

42.4 MB

3. Review (pt 3) Artificial Neural Networks.mp4

35.7 MB

4. Review Exercise Prompt.mp4

33.8 MB

5. Review Code (pt 1).mp4

27.2 MB

2. Review (pt 2) Neuron Learning.mp4

23.3 MB

7. Review Summary.mp4

4.6 MB

/.../4. Momentum and adaptive learning rates/

6. Adam Optimization (pt 1)-en_US.srt

16.4 KB

4. Variable and adaptive learning rates-en_US.srt

14.9 KB

7. Adam Optimization (pt 2)-en_US.srt

14.3 KB

1. Using Momentum to Speed Up Training-en_US.srt

7.7 KB

2. Nesterov Momentum-en_US.srt

7.3 KB

8. Adam in Code-en_US.srt

6.6 KB

3. Momentum in Code-en_US.srt

6.3 KB

9. Suggestion Box-en_US.srt

4.6 KB

5. Constant learning rate vs. RMSProp in Code-en_US.srt

4.0 KB

6. Adam Optimization (pt 1).mp4

57.8 MB

7. Adam Optimization (pt 2).mp4

55.3 MB

3. Momentum in Code.mp4

40.0 MB

8. Adam in Code.mp4

32.0 MB

1. Using Momentum to Speed Up Training.mp4

26.8 MB

5. Constant learning rate vs. RMSProp in Code.mp4

25.4 MB

4. Variable and adaptive learning rates.mp4

24.6 MB

9. Suggestion Box.mp4

20.3 MB

2. Nesterov Momentum.mp4

13.5 MB

/.../11. Project Facial Expression Recognition/

5. Class-Based ANN in Theano-en_US.srt

15.2 KB

2. Facial Expression Recognition Problem Description-en_US.srt

15.2 KB

6. Class-Based ANN in TensorFlow-en_US.srt

12.3 KB

3. The class imbalance problem-en_US.srt

7.5 KB

1. Facial Expression Recognition Project Introduction-en_US.srt

6.6 KB

4. Utilities walkthrough-en_US.srt

5.5 KB

7. Facial Expression Recognition Project Summary-en_US.srt

1.7 KB

6. Class-Based ANN in TensorFlow.mp4

101.8 MB

5. Class-Based ANN in Theano.mp4

100.9 MB

2. Facial Expression Recognition Problem Description.mp4

35.5 MB

4. Utilities walkthrough.mp4

27.4 MB

3. The class imbalance problem.mp4

16.5 MB

1. Facial Expression Recognition Project Introduction.mp4

13.4 MB

7. Facial Expression Recognition Project Summary.mp4

3.9 MB

/15. PyTorch/

1. PyTorch Basics-en_US.srt

14.6 KB

2. PyTorch Dropout-en_US.srt

3.1 KB

3. PyTorch Batch Norm-en_US.srt

3.0 KB

1. PyTorch Basics.mp4

87.9 MB

3. PyTorch Batch Norm.mp4

38.6 MB

2. PyTorch Dropout.mp4

37.5 MB

/.../12. Modern Regularization Techniques/

2. Dropout Regularization-en_US.srt

14.5 KB

4. Noise Injection-en_US.srt

6.9 KB

3. Dropout Intuition-en_US.srt

4.5 KB

1. Modern Regularization Techniques Section Introduction-en_US.srt

2.9 KB

5. Modern Regularization Techniques Section Summary-en_US.srt

2.6 KB

2. Dropout Regularization.mp4

51.1 MB

4. Noise Injection.mp4

15.3 MB

3. Dropout Intuition.mp4

9.5 MB

1. Modern Regularization Techniques Section Introduction.mp4

8.4 MB

5. Modern Regularization Techniques Section Summary.mp4

5.5 MB

/.../13. Batch Normalization/

3. Batch Normalization Theory-en_US.srt

13.8 KB

7. Batch Normalization Theano (part 2)-en_US.srt

7.9 KB

4. Batch Normalization Tensorflow (part 1)-en_US.srt

6.6 KB

5. Batch Normalization Tensorflow (part 2)-en_US.srt

6.5 KB

2. Exponentially-Smoothed Averages-en_US.srt

5.4 KB

6. Batch Normalization Theano (part 1)-en_US.srt

5.3 KB

1. Batch Normalization Introduction-en_US.srt

2.5 KB

8. Noise Perspective-en_US.srt

2.4 KB

9. Batch Normalization Summary-en_US.srt

2.1 KB

7. Batch Normalization Theano (part 2).mp4

80.0 MB

5. Batch Normalization Tensorflow (part 2).mp4

69.7 MB

3. Batch Normalization Theory.mp4

56.4 MB

4. Batch Normalization Tensorflow (part 1).mp4

11.9 MB

6. Batch Normalization Theano (part 1).mp4

10.6 MB

2. Exponentially-Smoothed Averages.mp4

8.7 MB

1. Batch Normalization Introduction.mp4

3.7 MB

8. Noise Perspective.mp4

3.4 MB

9. Batch Normalization Summary.mp4

3.1 MB

/7. Theano/

3. Is Theano Dead-en_US.srt

13.0 KB

1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt

7.2 KB

2. Building a neural network in Theano-en_US.srt

3.8 KB

1. Theano Basics Variables, Functions, Expressions, Optimization.mp4

68.5 MB

2. Building a neural network in Theano.mp4

52.3 MB

3. Is Theano Dead.mp4

24.2 MB

/6. Weight Initialization/

3. Weight Initialization-en_US.srt

10.4 KB

2. Vanishing and Exploding Gradients-en_US.srt

8.0 KB

1. Weight Initialization Section Introduction-en_US.srt

1.2 KB

5. Weight Initialization Section Summary-en_US.srt

2.1 KB

4. Local vs. Global Minima-en_US.srt

3.5 KB

3. Weight Initialization.mp4

15.8 MB

2. Vanishing and Exploding Gradients.mp4

14.1 MB

4. Local vs. Global Minima.mp4

8.7 MB

5. Weight Initialization Section Summary.mp4

3.6 MB

1. Weight Initialization Section Introduction.mp4

1.8 MB

/.../17. Deep Learning Review Topics/

1. What's the difference between neural networks and deep learning-en_US.srt

10.1 KB

2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt

5.4 KB

1. What's the difference between neural networks and deep learning.mp4

28.5 MB

2. Manually Choosing Learning Rate and Regularization Penalty.mp4

10.8 MB

/5. Choosing Hyperparameters/

3. Grid Search in Code-en_US.srt

9.1 KB

4. Modifying Grid Search-en_US.srt

1.9 KB

1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt

4.7 KB

5. Random Search in Code-en_US.srt

4.6 KB

2. Sampling Logarithmically-en_US.srt

3.9 KB

3. Grid Search in Code.mp4

71.8 MB

5. Random Search in Code.mp4

40.9 MB

1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4

8.3 MB

2. Sampling Logarithmically.mp4

5.5 MB

4. Modifying Grid Search.mp4

2.5 MB

/14. Keras/

1. Keras Discussion-en_US.srt

9.0 KB

2. Keras in Code-en_US.srt

7.3 KB

3. Keras Functional API-en_US.srt

5.1 KB

4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt

1.9 KB

2. Keras in Code.mp4

51.6 MB

3. Keras Functional API.mp4

30.5 MB

1. Keras Discussion.mp4

16.0 MB

4. How to easily convert Keras into Tensorflow 2.0 code.mp4

6.5 MB

/.../21. Appendix FAQ Finale/

2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt

7.7 KB

1. What is the Appendix-en_US.srt

3.7 KB

2. BONUS Where to get discount coupons and FREE deep learning material.mp4

39.6 MB

1. What is the Appendix.mp4

9.4 MB

/.../10. Transition to the 2nd Half of the Course/

1. Transition to the 2nd Half of the Course-en_US.srt

6.6 KB

1. Transition to the 2nd Half of the Course.mp4

13.7 MB

/.../16. PyTorch, CNTK, and MXNet/

1. PyTorch, CNTK, and MXNet-en_US.srt

1.1 KB

1. PyTorch, CNTK, and MXNet.mp4

1.9 MB

 

Total files 272


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