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Download Modern Deep Learning in Python

Modern Deep Learning in Python

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Modern Deep Learning in Python

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1.6 GB

Total Files

168

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61934B48E1399570BC021ACBE22E7EC3A0448953

/17. Appendix/

4. Windows-Focused Environment Setup 2018.mp4

195.4 MB

1. What is the Appendix.mp4

5.7 MB

1. What is the Appendix.vtt

3.4 KB

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

47.3 MB

2. What's the difference between neural networks and deep learning.vtt

9.1 KB

3. Manually Choosing Learning Rate and Regularization Penalty.mp4

8.1 MB

3. Manually Choosing Learning Rate and Regularization Penalty.vtt

5.1 KB

4. Windows-Focused Environment Setup 2018.vtt

17.8 KB

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

46.1 MB

5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

12.7 KB

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

13.6 MB

6. How to Succeed in this Course (Long Version).vtt

13.2 KB

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

25.7 MB

7. How to Code by Yourself (part 1).vtt

20.3 KB

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

15.5 MB

8. How to Code by Yourself (part 2).vtt

11.9 KB

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

40.9 MB

9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt

28.4 KB

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

82.1 MB

10. Proof that using Jupyter Notebook is the same as not using it.vtt

12.5 KB

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

5.7 MB

11. How to Uncompress a .tar.gz file.vtt

3.8 KB

12. Python 2 vs Python 3.mp4

8.2 MB

12. Python 2 vs Python 3.vtt

5.5 KB

13. What order should I take your courses in (part 1).mp4

30.8 MB

13. What order should I take your courses in (part 1).vtt

14.4 KB

14. What order should I take your courses in (part 2).mp4

39.4 MB

14. What order should I take your courses in (part 2).vtt

20.7 KB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/

Visit Coursedrive.org.url

0.1 KB

Course Downloaded from coursedrive.org.txt

0.5 KB

/Modern Deep Learning in Python/

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/.../1. Introduction and Outline/

1. Outline - what did you learn previously, and what will you learn in this course.mp4

15.1 MB

1. Outline - what did you learn previously, and what will you learn in this course.vtt

10.0 KB

2. Where does this course fit into your deep learning studies.mp4

6.3 MB

2. Where does this course fit into your deep learning studies.vtt

5.1 KB

Must Read.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/2. Review/

1. Review of Basic Concepts.mp4

24.5 MB

1. Review of Basic Concepts.vtt

16.4 KB

2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4

11.7 MB

2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt

4.3 KB

/.../3. Gradient Descent Full vs Batch vs Stochastic/

1. What are full, batch, and stochastic gradient descent.mp4

6.1 MB

1. What are full, batch, and stochastic gradient descent.vtt

3.6 KB

2. Full vs Batch vs Stochastic Gradient Descent in code.mp4

14.7 MB

2. Full vs Batch vs Stochastic Gradient Descent in code.vtt

6.0 KB

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

1. Using Momentum to Speed Up Training.mp4

11.2 MB

1. Using Momentum to Speed Up Training.vtt

7.0 KB

2. Nesterov Momentum.mp4

11.2 MB

2. Nesterov Momentum.vtt

6.9 KB

3. Momentum in Code.mp4

15.1 MB

3. Momentum in Code.vtt

5.6 KB

4. Variable and adaptive learning rates.mp4

19.8 MB

4. Variable and adaptive learning rates.vtt

13.5 KB

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

11.5 MB

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

3.9 KB

6. Adam Optimization.mp4

20.3 MB

6. Adam Optimization.vtt

12.2 KB

7. Adam in Code.mp4

14.6 MB

7. Adam in Code.vtt

6.1 KB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/5. Choosing Hyperparameters/

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

5.3 MB

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

4.2 KB

2. Sampling Logarithmically.mp4

5.5 MB

2. Sampling Logarithmically.vtt

3.5 KB

3. Grid Search in Code.mp4

14.4 MB

3. Grid Search in Code.vtt

8.3 KB

4. Modifying Grid Search.mp4

2.3 MB

4. Modifying Grid Search.vtt

1.6 KB

5. Random Search in Code.mp4

8.3 MB

5. Random Search in Code.vtt

4.4 KB

/6. Weight Initialization/

1. Weight Initialization Section Introduction.mp4

1.6 MB

1. Weight Initialization Section Introduction.vtt

1.1 KB

2. Vanishing and Exploding Gradients.mp4

10.5 MB

2. Vanishing and Exploding Gradients.vtt

7.1 KB

3. Weight Initialization.mp4

14.3 MB

3. Weight Initialization.vtt

9.3 KB

4. Local vs. Global Minima.mp4

5.4 MB

4. Local vs. Global Minima.vtt

3.2 KB

5. Weight Initialization Section Summary.mp4

2.8 MB

5. Weight Initialization Section Summary.vtt

1.9 KB

/7. Theano/

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

20.3 MB

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

7.2 KB

2. Building a neural network in Theano.mp4

22.8 MB

2. Building a neural network in Theano.vtt

4.1 KB

3. Is Theano Dead.mp4

18.7 MB

3. Is Theano Dead.vtt

11.6 KB

/8. TensorFlow/

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

17.9 MB

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

5.8 KB

2. Building a neural network in TensorFlow.mp4

25.0 MB

2. Building a neural network in TensorFlow.vtt

5.5 KB

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

24.7 MB

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

16.4 KB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/.../9. GPU Speedup, Homework, and Other Misc Topics/

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

26.9 MB

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

4.3 KB

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

5.5 MB

2. Can Big Data be used to Speed Up Backpropagation.vtt

3.9 KB

3. Exercises and Concepts Still to be Covered.mp4

4.7 MB

3. Exercises and Concepts Still to be Covered.vtt

2.7 KB

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

7.7 MB

4. How to Improve your Theano and Tensorflow Skills.vtt

5.5 KB

5. Theano vs. TensorFlow.mp4

9.6 MB

5. Theano vs. TensorFlow.vtt

7.7 KB

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

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

9.9 MB

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

6.0 KB

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

1. Facial Expression Recognition Project Introduction.mp4

10.3 MB

1. Facial Expression Recognition Project Introduction.vtt

5.8 KB

2. Facial Expression Recognition Problem Description.mp4

22.5 MB

2. Facial Expression Recognition Problem Description.vtt

14.7 KB

3. The class imbalance problem.mp4

10.6 MB

3. The class imbalance problem.vtt

7.3 KB

4. Utilities walkthrough.mp4

14.1 MB

4. Utilities walkthrough.vtt

5.4 KB

5. Class-Based ANN in Theano.mp4

46.1 MB

5. Class-Based ANN in Theano.vtt

13.7 KB

6. Class-Based ANN in TensorFlow.mp4

39.2 MB

6. Class-Based ANN in TensorFlow.vtt

11.8 KB

7. Facial Expression Recognition Project Summary.mp4

3.0 MB

7. Facial Expression Recognition Project Summary.vtt

1.5 KB

/.../12. Modern Regularization Techniques/

1. Modern Regularization Techniques Section Introduction.mp4

4.5 MB

1. Modern Regularization Techniques Section Introduction.vtt

2.7 KB

2. Dropout Regularization.mp4

23.8 MB

2. Dropout Regularization.vtt

13.0 KB

3. Dropout Intuition.mp4

6.4 MB

3. Dropout Intuition.vtt

4.1 KB

4. Noise Injection.mp4

9.1 MB

4. Noise Injection.vtt

6.3 KB

5. Modern Regularization Techniques Section Summary.mp4

4.1 MB

5. Modern Regularization Techniques Section Summary.vtt

2.4 KB

/.../13. Batch Normalization/

1. Batch Normalization Introduction.mp4

3.7 MB

1. Batch Normalization Introduction.vtt

2.3 KB

2. Exponentially-Smoothed Averages.mp4

7.7 MB

2. Exponentially-Smoothed Averages.vtt

4.9 KB

3. Batch Normalization Theory.mp4

19.5 MB

3. Batch Normalization Theory.vtt

12.7 KB

4. Batch Normalization Tensorflow (part 1).mp4

9.9 MB

4. Batch Normalization Tensorflow (part 1).vtt

6.1 KB

5. Batch Normalization Tensorflow (part 2).mp4

15.6 MB

5. Batch Normalization Tensorflow (part 2).vtt

6.1 KB

6. Batch Normalization Theano (part 1).mp4

8.0 MB

6. Batch Normalization Theano (part 1).vtt

4.9 KB

7. Batch Normalization Theano (part 2).mp4

17.3 MB

7. Batch Normalization Theano (part 2).vtt

7.1 KB

8. Noise Perspective.mp4

3.3 MB

8. Noise Perspective.vtt

2.3 KB

9. Batch Normalization Summary.mp4

2.7 MB

9. Batch Normalization Summary.vtt

1.9 KB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/14. Keras/

1. Keras Discussion.mp4

11.8 MB

1. Keras Discussion.vtt

8.2 KB

2. Keras in Code.mp4

15.5 MB

2. Keras in Code.vtt

6.6 KB

3. Keras Functional API.mp4

40.5 MB

3. Keras Functional API.vtt

4.8 KB

/15. PyTorch/

1. PyTorch Basics.mp4

122.5 MB

1. PyTorch Basics.vtt

13.2 KB

2. PyTorch Dropout.mp4

34.3 MB

2. PyTorch Dropout.vtt

2.7 KB

3. PyTorch Batch Norm.mp4

35.5 MB

3. PyTorch Batch Norm.vtt

2.7 KB

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

1. PyTorch, CNTK, and MXNet.mp4

1.4 MB

1. PyTorch, CNTK, and MXNet.vtt

0.9 KB

 

Total files 168


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