DesireCourse Com Udemy - Deep Learning Recurrent Neural Networks in Python

1. 01 Introduction and Outline/001 Outline of this Course.mp44.93MB
2. 01 Introduction and Outline/002 Review of Important Deep Learning Concepts.mp45.68MB
3. 01 Introduction and Outline/003 Where to get the Code and Data.mp43.12MB
4. 01 Introduction and Outline/004 How to Succeed in this Course.mp49.52MB
5. 02 The Simple Recurrent Unit/005 Architecture of a Recurrent Unit.mp47.74MB
6. 02 The Simple Recurrent Unit/006 Prediction and Relationship to Markov Models.mp48.97MB
7. 02 The Simple Recurrent Unit/007 Unfolding a Recurrent Network.mp43.21MB
8. 02 The Simple Recurrent Unit/008 Backpropagation Through Time BPTT.mp47.14MB
9. 02 The Simple Recurrent Unit/009 The Parity Problem - XOR on Steroids.mp47.78MB
10. 02 The Simple Recurrent Unit/010 The Parity Problem in Code using a Feedforward ANN.mp438.33MB
11. 02 The Simple Recurrent Unit/011 Theano Scan Tutorial.mp423.76MB
12. 02 The Simple Recurrent Unit/012 The Parity Problem in Code using a Recurrent Neural Network.mp437.48MB
13. 02 The Simple Recurrent Unit/013 On Adding Complexity.mp42.39MB
14. 03 Recurrent Neural Networks for NLP/014 Word Embeddings and Recurrent Neural Networks.mp48.69MB
15. 03 Recurrent Neural Networks for NLP/015 Word Analogies with Word Embeddings.mp44.18MB
16. 03 Recurrent Neural Networks for NLP/016 Representing a sequence of words as a sequence of word embeddings.mp45.43MB
17. 03 Recurrent Neural Networks for NLP/017 Generating Poetry.mp47.53MB
18. 03 Recurrent Neural Networks for NLP/018 Generating Poetry in Code part 1.mp452.43MB
19. 03 Recurrent Neural Networks for NLP/019 Generating Poetry in Code part 2.mp413.59MB
20. 03 Recurrent Neural Networks for NLP/020 Classifying Poetry.mp46.28MB
21. 03 Recurrent Neural Networks for NLP/021 Classifying Poetry in Code.mp445.86MB
22. 04 Advanced RNN Units/022 Rated RNN Unit.mp46.04MB
23. 04 Advanced RNN Units/023 RRNN in Code - Revisiting Poetry Generation.mp425.41MB
24. 04 Advanced RNN Units/024 Gated Recurrent Unit GRU.mp49.03MB
25. 04 Advanced RNN Units/025 GRU in Code.mp415.06MB
26. 04 Advanced RNN Units/026 Long Short-Term Memory LSTM.mp47.61MB
27. 04 Advanced RNN Units/027 LSTM in Code.mp419.38MB
28. 04 Advanced RNN Units/028 Learning from Wikipedia Data.mp412.75MB
29. 04 Advanced RNN Units/029 Alternative to Wikipedia Data Brown Corpus.mp412.49MB
30. 04 Advanced RNN Units/030 Learning from Wikipedia Data in Code part 1.mp448.69MB
31. 04 Advanced RNN Units/031 Learning from Wikipedia Data in Code part 2.mp425.61MB
32. 04 Advanced RNN Units/032 Visualizing the Word Embeddings.mp423.49MB
33. 05 Batch Training/033 Batch Training for Simple RNN.mp416.55MB
34. 06 TensorFlow/034 Simple RNN in TensorFlow.mp411.99MB
35. 07 Appendix/035 How to install wp2txt or WikiExtractor.py.mp43.77MB
36. 07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
37. 07 Appendix/037 How to Code by Yourself part 1.mp424.53MB
38. 07 Appendix/038 How to Code by Yourself part 2.mp414.8MB
39. 07 Appendix/039 BONUS Where to get Udemy coupons and FREE deep learning material.mp44.02MB