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

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File Name
Size
8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4
186 MB
Verify Files.txt
1.0 kB
0. Websites you may like/[FreeAllCourse.Com].url
52 B
1. Introduction and Outline/1. Outline of this Course.mp4
4.9 MB
1. Introduction and Outline/1. Outline of this Course.srt
4.8 kB
1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4
5.7 MB
1. Introduction and Outline/2. Review of Important Deep Learning Concepts.srt
5.1 kB
1. Introduction and Outline/3. How to Succeed in this Course.mp4
3.3 MB
1. Introduction and Outline/3. How to Succeed in this Course.srt
7.5 kB
1. Introduction and Outline/4. Where to get the Code and Data.mp4
3.1 MB
1. Introduction and Outline/4. Where to get the Code and Data.srt
2.6 kB
1. Introduction and Outline/5. Preprocessed Wikipedia Data.mp4
22 MB
1. Introduction and Outline/5. Preprocessed Wikipedia Data.srt
4.1 kB
2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4
7.7 MB
2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.srt
6.6 kB
2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4
9.0 MB
2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.srt
7.5 kB
2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.mp4
3.2 MB
2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.srt
2.6 kB
2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4
7.1 MB
2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).srt
6.1 kB
2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4
7.8 MB
2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.srt
6.2 kB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4
38 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.srt
12 kB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4
24 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.srt
13 kB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4
38 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.srt
12 kB
2. The Simple Recurrent Unit/9. On Adding Complexity.mp4
2.4 MB
2. The Simple Recurrent Unit/9. On Adding Complexity.srt
1.8 kB
2. The Simple Recurrent Unit/10. Suggestion Box.mp4
16 MB
2. The Simple Recurrent Unit/10. Suggestion Box.srt
4.8 kB
3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4
8.7 MB
3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.srt
7.4 kB
3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4
4.2 MB
3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.srt
3.6 kB
3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4
5.4 MB
3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.srt
4.3 kB
3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4
7.5 MB
3. Recurrent Neural Networks for NLP/4. Generating Poetry.srt
5.9 kB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4
52 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).srt
15 kB
3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4
14 MB
3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).srt
3.2 kB
3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4
6.3 MB
3. Recurrent Neural Networks for NLP/7. Classifying Poetry.srt
4.8 kB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4
46 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.srt
12 kB
4. Advanced RNN Units/1. Rated RNN Unit.mp4
6.0 MB
4. Advanced RNN Units/1. Rated RNN Unit.srt
5.1 kB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4
25 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.srt
6.4 kB
4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).mp4
9.0 MB
4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).srt
7.2 kB
4. Advanced RNN Units/4. GRU in Code.mp4
15 MB
4. Advanced RNN Units/4. GRU in Code.srt
4.2 kB
4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).mp4
7.6 MB
4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).srt
5.7 kB
4. Advanced RNN Units/6. LSTM in Code.mp4
19 MB
4. Advanced RNN Units/6. LSTM in Code.srt
6.0 kB
4. Advanced RNN Units/7. Learning from Wikipedia Data.mp4
13 MB
4. Advanced RNN Units/7. Learning from Wikipedia Data.srt
16 kB
4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.mp4
12 MB
4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.srt
14 kB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4
49 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).srt
15 kB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4
26 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).srt
6.3 kB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4
24 MB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.srt
10 kB
5. Batch Training/1. Batch Training for Simple RNN.mp4
17 MB
5. Batch Training/1. Batch Training for Simple RNN.srt
23 kB
6. TensorFlow/1. Simple RNN in TensorFlow.mp4
12 MB
6. TensorFlow/1. Simple RNN in TensorFlow.srt
19 kB
7. Basics Review/1. (Review) Theano Basics.mp4
94 MB
7. Basics Review/1. (Review) Theano Basics.srt
13 kB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4
87 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.srt
6.7 kB
7. Basics Review/3. (Review) Tensorflow Basics.mp4
81 MB
7. Basics Review/3. (Review) Tensorflow Basics.srt
10 kB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4
97 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.srt
10 kB
8. Appendix FAQ/1. What is the Appendix.mp4
5.5 MB
8. Appendix FAQ/1. What is the Appendix.srt
6.3 kB
8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.mp4
3.8 MB
8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.srt
5.8 kB
[FreeAllCourse.Com].url
52 B
8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt
36 kB
8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
44 MB
8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
25 kB
8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4
24 MB
8. Appendix FAQ/5. How to Code by Yourself (part 1).srt
41 kB
8. Appendix FAQ/6. How to Code by Yourself (part 2).mp4
15 MB
8. Appendix FAQ/6. How to Code by Yourself (part 2).srt
24 kB
8. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4
13 MB
8. Appendix FAQ/7. How to Succeed in this Course (Long Version).srt
26 kB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
39 MB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
58 kB
8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4
78 MB
8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.srt
25 kB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
38 MB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.srt
8.4 kB
8. Appendix FAQ/11. Python 2 vs Python 3.mp4
7.8 MB
8. Appendix FAQ/11. Python 2 vs Python 3.srt
11 kB
8. Appendix FAQ/12. Is Theano Dead.mp4
18 MB
8. Appendix FAQ/12. Is Theano Dead.srt
24 kB
8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4
29 MB
8. Appendix FAQ/13. What order should I take your courses in (part 1).srt
29 kB
8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4
38 MB
8. Appendix FAQ/14. What order should I take your courses in (part 2).srt
43 kB