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[DesireCourse.Com] Udemy - Unsupervised Deep Learning in Python

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Number of Files:

169

Content Size:

2.85GB

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2019-07-11

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DesireCourse Com Udemy Unsupervised Deep Learning in Python

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File Name

Size

1. Introduction and Outline/1. Introduction and Outline.mp4

3.27MB

1. Introduction and Outline/1. Introduction and Outline.vtt

351B

1. Introduction and Outline/2. Where does this course fit into your deep learning studies.mp4

5.19MB

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

351B

1. Introduction and Outline/3. How to Succeed in this Course.mp4

6.41MB

1. Introduction and Outline/3. How to Succeed in this Course.vtt

351B

1. Introduction and Outline/4. Where to get the code and data.mp4

26.43MB

1. Introduction and Outline/4. Where to get the code and data.vtt

351B

1. Introduction and Outline/5. Tensorflow or Theano - Your Choice!.mp4

18.93MB

1. Introduction and Outline/5. Tensorflow or Theano - Your Choice!.vtt

351B

1. Introduction and Outline/6. What are the practical applications of unsupervised deep learning.mp4

11.66MB

1. Introduction and Outline/6. What are the practical applications of unsupervised deep learning.vtt

351B

10. Basics Review/1. (Review) Theano Basics.mp4

93.43MB

10. Basics Review/1. (Review) Theano Basics.vtt

6.31KB

10. Basics Review/2. (Review) Theano Neural Network in Code.mp4

87.03MB

10. Basics Review/2. (Review) Theano Neural Network in Code.vtt

3.29KB

10. Basics Review/3. (Review) Tensorflow Basics.mp4

81.47MB

10. Basics Review/3. (Review) Tensorflow Basics.vtt

5.06KB

10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4

97.39MB

10. Basics Review/4. (Review) Tensorflow Neural Network in Code.vtt

4.78KB

10. Basics Review/5. (Review) Keras Basics.mp4

27.64MB

10. Basics Review/5. (Review) Keras Basics.vtt

8.05KB

10. Basics Review/6. (Review) Keras in Code pt 1.mp4

66.17MB

10. Basics Review/6. (Review) Keras in Code pt 1.vtt

6.47KB

10. Basics Review/7. (Review) Keras in Code pt 2.mp4

38.67MB

10. Basics Review/7. (Review) Keras in Code pt 2.vtt

4.7KB

11. Optional - Legacy RBM Lectures/1. (Legacy) Restricted Boltzmann Machine Theory.mp4

14.39MB

11. Optional - Legacy RBM Lectures/1. (Legacy) Restricted Boltzmann Machine Theory.vtt

10.39KB

11. Optional - Legacy RBM Lectures/2. (Legacy) Deriving Conditional Probabilities from Joint Probability.mp4

9.37MB

11. Optional - Legacy RBM Lectures/2. (Legacy) Deriving Conditional Probabilities from Joint Probability.vtt

5.72KB

11. Optional - Legacy RBM Lectures/3. (Legacy) Contrastive Divergence for RBM Training.mp4

4.85MB

11. Optional - Legacy RBM Lectures/3. (Legacy) Contrastive Divergence for RBM Training.vtt

3.01KB

11. Optional - Legacy RBM Lectures/4. (Legacy) How to derive the free energy formula.mp4

10.88MB

11. Optional - Legacy RBM Lectures/4. (Legacy) How to derive the free energy formula.vtt

5.6KB

12. Appendix/1. What is the Appendix.mp4

5.45MB

12. Appendix/1. What is the Appendix.vtt

3.28KB

12. Appendix/10. Python 2 vs Python 3.mp4

7.84MB

12. Appendix/10. Python 2 vs Python 3.vtt

5.35KB

12. Appendix/11. Is Theano Dead.mp4

17.82MB

12. Appendix/11. Is Theano Dead.vtt

11.3KB

12. Appendix/12. What order should I take your courses in (part 1).mp4

29.33MB

12. Appendix/12. What order should I take your courses in (part 1).vtt

14.09KB

12. Appendix/13. What order should I take your courses in (part 2).mp4

37.62MB

12. Appendix/13. What order should I take your courses in (part 2).vtt

20.24KB

12. Appendix/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4

4.03MB

12. Appendix/2. BONUS Where to get Udemy coupons and FREE deep learning material.vtt

2.99KB

12. Appendix/3. Windows-Focused Environment Setup 2018.mp4

186.39MB

12. Appendix/3. Windows-Focused Environment Setup 2018.vtt

17.39KB

12. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

43.92MB

12. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

12.4KB

12. Appendix/5. How to Code by Yourself (part 1).mp4

24.53MB

12. Appendix/5. How to Code by Yourself (part 1).vtt

19.78KB

12. Appendix/6. How to Code by Yourself (part 2).mp4

14.8MB

12. Appendix/6. How to Code by Yourself (part 2).vtt

11.62KB

12. Appendix/7. How to Succeed in this Course (Long Version).mp4

18.31MB

12. Appendix/7. How to Succeed in this Course (Long Version).vtt

12.79KB

12. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

38.95MB

12. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt

27.77KB

12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4

78.25MB

12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt

78.26MB

2. Principal Components Analysis/1. What does PCA do.mp4

27.79MB

2. Principal Components Analysis/1. What does PCA do.vtt

4.96KB

2. Principal Components Analysis/10. SVD (Singular Value Decomposition).mp4

42.47MB

2. Principal Components Analysis/10. SVD (Singular Value Decomposition).vtt

10.33KB

2. Principal Components Analysis/2. How does PCA work.mp4

50.93MB

2. Principal Components Analysis/2. How does PCA work.vtt

12.37KB

2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4

51.32MB

2. Principal Components Analysis/3. Why does PCA work (PCA derivation).vtt

351B

2. Principal Components Analysis/4. PCA only rotates.mp4

16.45MB

2. Principal Components Analysis/4. PCA only rotates.vtt

351B

2. Principal Components Analysis/5. MNIST visualization, finding the optimal number of principal components.mp4

9.39MB

2. Principal Components Analysis/5. MNIST visualization, finding the optimal number of principal components.vtt

3.33KB

2. Principal Components Analysis/6. PCA implementation.mp4

32.09MB

2. Principal Components Analysis/6. PCA implementation.vtt

351B

2. Principal Components Analysis/7. PCA for NLP.mp4

16.62MB

2. Principal Components Analysis/7. PCA for NLP.vtt

3.89KB

2. Principal Components Analysis/8. PCA objective function.mp4

3.68MB

2. Principal Components Analysis/8. PCA objective function.vtt

2.28KB

2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4

53.65MB

2. Principal Components Analysis/9. PCA Application Naive Bayes.vtt

10.78KB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/1. t-SNE Theory.mp4

7.9MB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/1. t-SNE Theory.vtt

4.78KB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/2. t-SNE Visualization.mp4

13.03MB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/2. t-SNE Visualization.vtt

4.82KB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/3. t-SNE on the Donut.mp4

15.1MB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/3. t-SNE on the Donut.vtt

2.23KB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/4. t-SNE on XOR.mp4

9.31MB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/4. t-SNE on XOR.vtt

3.64KB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/5. t-SNE on MNIST.mp4

4.35MB

3. t-SNE (t-distributed Stochastic Neighbor Embedding)/5. t-SNE on MNIST.vtt

1.59KB

4. Autoencoders/1. Autoencoders.mp4

5.82MB

4. Autoencoders/1. Autoencoders.vtt

3.94KB

4. Autoencoders/10. Deep Autoencoder Visualization Description.mp4

2.46MB

4. Autoencoders/10. Deep Autoencoder Visualization Description.vtt

2KB

4. Autoencoders/11. Deep Autoencoder Visualization in Code.mp4

27.85MB

4. Autoencoders/11. Deep Autoencoder Visualization in Code.vtt

6.67KB

4. Autoencoders/12. An Autoencoder in 1 Line of Code.mp4

24.94MB

4. Autoencoders/12. An Autoencoder in 1 Line of Code.vtt

5.08KB

4. Autoencoders/2. Denoising Autoencoders.mp4

3.44MB

4. Autoencoders/2. Denoising Autoencoders.vtt

2.26KB

4. Autoencoders/3. Stacked Autoencoders.mp4

6.6MB

4. Autoencoders/3. Stacked Autoencoders.vtt

4.24KB

4. Autoencoders/4. Writing the autoencoder class in code (Theano).mp4

38.52MB

4. Autoencoders/4. Writing the autoencoder class in code (Theano).vtt

6.08KB

4. Autoencoders/5. Testing our Autoencoder (Theano).mp4

11.36MB

4. Autoencoders/5. Testing our Autoencoder (Theano).vtt

2.67KB

4. Autoencoders/6. Writing the deep neural network class in code (Theano).mp4

41.97MB

4. Autoencoders/6. Writing the deep neural network class in code (Theano).vtt

6.37KB

4. Autoencoders/7. Autoencoder in Code (Tensorflow).mp4

24.45MB

4. Autoencoders/7. Autoencoder in Code (Tensorflow).vtt

8.17KB

4. Autoencoders/8. Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4

18.53MB

4. Autoencoders/8. Testing greedy layer-wise autoencoder training vs. pure backpropagation.vtt

1.86KB

4. Autoencoders/9. Cross Entropy vs. KL Divergence.mp4

7.42MB

4. Autoencoders/9. Cross Entropy vs. KL Divergence.vtt

5.48KB

5. Restricted Boltzmann Machines/1. Basic Outline for RBMs.mp4

32.98MB

5. Restricted Boltzmann Machines/1. Basic Outline for RBMs.vtt

5.64KB

5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4

47.76MB

5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.vtt

6.77KB

5. Restricted Boltzmann Machines/11. RBM in Code (Tensorflow).mp4

13.7MB

5. Restricted Boltzmann Machines/11. RBM in Code (Tensorflow).vtt

351B

5. Restricted Boltzmann Machines/2. Introduction to RBMs.mp4

39.44MB

5. Restricted Boltzmann Machines/2. Introduction to RBMs.vtt

351B

5. Restricted Boltzmann Machines/3. Motivation Behind RBMs.mp4

34MB

5. Restricted Boltzmann Machines/3. Motivation Behind RBMs.vtt

351B

5. Restricted Boltzmann Machines/4. Intractability.mp4

12.92MB

5. Restricted Boltzmann Machines/4. Intractability.vtt

351B

5. Restricted Boltzmann Machines/5. Neural Network Equations.mp4

31.71MB

5. Restricted Boltzmann Machines/5. Neural Network Equations.vtt

7.42KB

5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4

49.08MB

5. Restricted Boltzmann Machines/6. Training an RBM (part 1).vtt

11.76KB

5. Restricted Boltzmann Machines/7. Training an RBM (part 2).mp4

27.34MB

5. Restricted Boltzmann Machines/7. Training an RBM (part 2).vtt

6.44KB

5. Restricted Boltzmann Machines/8. Training an RBM (part 3) - Free Energy.mp4

27.58MB

5. Restricted Boltzmann Machines/8. Training an RBM (part 3) - Free Energy.vtt

7.03KB

5. Restricted Boltzmann Machines/9. RBM Greedy Layer-Wise Pretraining.mp4

23.62MB

5. Restricted Boltzmann Machines/9. RBM Greedy Layer-Wise Pretraining.vtt

5.19KB

6. The Vanishing Gradient Problem/1. The Vanishing Gradient Problem Description.mp4

5.2MB

6. The Vanishing Gradient Problem/1. The Vanishing Gradient Problem Description.vtt

351B

6. The Vanishing Gradient Problem/2. The Vanishing Gradient Problem Demo in Code.mp4

31.29MB

6. The Vanishing Gradient Problem/2. The Vanishing Gradient Problem Demo in Code.vtt

351B

7. Extras + Visualizing what features a neural network has learned/1. Exercises on feature visualization and interpretation.mp4

3.75MB

7. Extras + Visualizing what features a neural network has learned/1. Exercises on feature visualization and interpretation.vtt

351B

8. Applications to NLP (Natural Language Processing)/1. Application of PCA and SVD to NLP (Natural Language Processing).mp4

3.93MB

8. Applications to NLP (Natural Language Processing)/1. Application of PCA and SVD to NLP (Natural Language Processing).vtt

351B

8. Applications to NLP (Natural Language Processing)/2. Latent Semantic Analysis in Code.mp4

25.62MB

8. Applications to NLP (Natural Language Processing)/2. Latent Semantic Analysis in Code.vtt

351B

8. Applications to NLP (Natural Language Processing)/3. Application of t-SNE + K-Means Finding Clusters of Related Words.mp4

25.99MB

8. Applications to NLP (Natural Language Processing)/3. Application of t-SNE + K-Means Finding Clusters of Related Words.vtt

351B

9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4

68.17MB

9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.vtt

351B

9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4

82.95MB

9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt

82.96MB

9. Applications to Recommender Systems/2. Why Autoencoders and RBMs work.mp4

38.19MB

9. Applications to Recommender Systems/2. Why Autoencoders and RBMs work.vtt

351B

9. Applications to Recommender Systems/3. Data Preparation and Logistics.mp4

21.21MB

9. Applications to Recommender Systems/3. Data Preparation and Logistics.vtt

351B

9. Applications to Recommender Systems/4. AutoRec.mp4

48.9MB

9. Applications to Recommender Systems/4. AutoRec.vtt

351B

9. Applications to Recommender Systems/5. AutoRec in Code.mp4

102.28MB

9. Applications to Recommender Systems/5. AutoRec in Code.vtt

12.62KB

9. Applications to Recommender Systems/6. Categorical RBM for Recommender System Ratings.mp4

47.59MB

9. Applications to Recommender Systems/6. Categorical RBM for Recommender System Ratings.vtt

12.05KB

9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4

70.42MB

9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.vtt

8.74KB

9. Applications to Recommender Systems/8. Recommender RBM Code pt 2.mp4

39.58MB

9. Applications to Recommender Systems/8. Recommender RBM Code pt 2.vtt

4.63KB

9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4

128.54MB

9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.vtt

11.98KB

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