[FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python

1. 8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 186.45 MB
2. 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 97.34 MB
3. 7. Basics Review/1. (Review) Theano Basics.mp4 93.47 MB
4. 7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 87.04 MB
5. 7. Basics Review/3. (Review) Tensorflow Basics.mp4 81.45 MB
6. 8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.31 MB
7. 3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 52.43 MB
8. 4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 48.69 MB
9. 3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 45.85 MB
10. 8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
11. 8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
12. 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 38.33 MB
13. 8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.80 MB
14. 8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4 37.62 MB
15. 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 37.47 MB
16. 8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4 29.33 MB
17. 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 25.61 MB
18. 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 25.42 MB
19. 8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 24.54 MB
20. 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 23.76 MB
21. 4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 23.50 MB
22. 1. Introduction and Outline/5. Preprocessed Wikipedia Data.mp4 21.58 MB
23. 4. Advanced RNN Units/6. LSTM in Code.mp4 19.38 MB
24. 8. Appendix FAQ/12. Is Theano Dead.mp4 17.81 MB
25. 5. Batch Training/1. Batch Training for Simple RNN.mp4 16.56 MB
26. 2. The Simple Recurrent Unit/10. Suggestion Box.mp4 15.78 MB
27. 4. Advanced RNN Units/4. GRU in Code.mp4 15.07 MB
28. 8. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 14.80 MB
29. 3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4 13.60 MB
30. 8. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4 12.99 MB
31. 4. Advanced RNN Units/7. Learning from Wikipedia Data.mp4 12.75 MB
32. 4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.mp4 12.49 MB
33. 6. TensorFlow/1. Simple RNN in TensorFlow.mp4 12.00 MB
34. 4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).mp4 9.04 MB
35. 2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4 8.98 MB
36. 3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4 8.69 MB
37. 8. Appendix FAQ/11. Python 2 vs Python 3.mp4 7.83 MB
38. 2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4 7.78 MB
39. 2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4 7.75 MB
40. 4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).mp4 7.62 MB
41. 3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4 7.53 MB
42. 2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4 7.15 MB
43. 3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4 6.27 MB
44. 4. Advanced RNN Units/1. Rated RNN Unit.mp4 6.04 MB
45. 1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4 5.69 MB
46. 8. Appendix FAQ/1. What is the Appendix.mp4 5.46 MB
47. 3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4 5.44 MB
48. 1. Introduction and Outline/1. Outline of this Course.mp4 4.93 MB
49. 3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4 4.18 MB
50. 8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.mp4 3.78 MB