|
|
1. (Review) Theano Basics.mp4
|
MP4
|
93.5 MB
|
|
|
1. (Review) Theano Basics.srt
|
SRT
|
13.3 KB
|
|
|
1. Architecture of a Recurrent Unit.mp4
|
MP4
|
7.7 MB
|
|
|
1. Architecture of a Recurrent Unit.srt
|
SRT
|
6.6 KB
|
|
|
1. Batch Training for Simple RNN.mp4
|
MP4
|
16.6 MB
|
|
|
1. Batch Training for Simple RNN.srt
|
SRT
|
23.4 KB
|
|
|
1. Outline of this Course.mp4
|
MP4
|
4.9 MB
|
|
|
1. Outline of this Course.srt
|
SRT
|
4.8 KB
|
|
|
1. Rated RNN Unit.mp4
|
MP4
|
6 MB
|
|
|
1. Rated RNN Unit.srt
|
SRT
|
5.1 KB
|
|
|
1. Simple RNN in TensorFlow.mp4
|
MP4
|
12 MB
|
|
|
1. Simple RNN in TensorFlow.srt
|
SRT
|
19 KB
|
|
|
1. What is the Appendix.mp4
|
MP4
|
5.5 MB
|
|
|
1. What is the Appendix.srt
|
SRT
|
6.3 KB
|
|
|
1. Word Embeddings and Recurrent Neural Networks.mp4
|
MP4
|
8.7 MB
|
|
|
1. Word Embeddings and Recurrent Neural Networks.srt
|
SRT
|
7.4 KB
|
|
|
10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
|
MP4
|
37.8 MB
|
|
|
10. BONUS Where to get Udemy coupons and FREE deep learning material.srt
|
SRT
|
8.4 KB
|
|
|
10. Learning from Wikipedia Data in Code (part 2).mp4
|
MP4
|
25.6 MB
|
|
|
10. Learning from Wikipedia Data in Code (part 2).srt
|
SRT
|
6.3 KB
|
|
|
10. Suggestion Box.mp4
|
MP4
|
15.8 MB
|
|
|
10. Suggestion Box.srt
|
SRT
|
4.8 KB
|
|
|
11. Python 2 vs Python 3.mp4
|
MP4
|
7.8 MB
|
|
|
11. Python 2 vs Python 3.srt
|
SRT
|
11.1 KB
|
|
|
11. Visualizing the Word Embeddings.mp4
|
MP4
|
23.5 MB
|
|
|
11. Visualizing the Word Embeddings.srt
|
SRT
|
10.1 KB
|
|
|
12. Is Theano Dead.mp4
|
MP4
|
17.8 MB
|
|
|
12. Is Theano Dead.srt
|
SRT
|
23.6 KB
|
|
|
13. What order should I take your courses in (part 1).mp4
|
MP4
|
29.3 MB
|
|
|
13. What order should I take your courses in (part 1).srt
|
SRT
|
29.4 KB
|
|
|
14. What order should I take your courses in (part 2).mp4
|
MP4
|
37.6 MB
|
|
|
14. What order should I take your courses in (part 2).srt
|
SRT
|
43.4 KB
|
|
|
2. (Review) Theano Neural Network in Code.mp4
|
MP4
|
87 MB
|
|
|
2. (Review) Theano Neural Network in Code.srt
|
SRT
|
6.7 KB
|
|
|
2. How to install wp2txt or WikiExtractor.py.mp4
|
MP4
|
3.8 MB
|
|
|
2. How to install wp2txt or WikiExtractor.py.srt
|
SRT
|
5.8 KB
|
|
|
2. Prediction and Relationship to Markov Models.mp4
|
MP4
|
9 MB
|
|
|
2. Prediction and Relationship to Markov Models.srt
|
SRT
|
7.5 KB
|
|
|
2. RRNN in Code - Revisiting Poetry Generation.mp4
|
MP4
|
25.4 MB
|
|
|
2. RRNN in Code - Revisiting Poetry Generation.srt
|
SRT
|
6.4 KB
|
|
|
2. Review of Important Deep Learning Concepts.mp4
|
MP4
|
5.7 MB
|
|
|
2. Review of Important Deep Learning Concepts.srt
|
SRT
|
5.1 KB
|
|
|
2. Word Analogies with Word Embeddings.mp4
|
MP4
|
4.2 MB
|
|
|
2. Word Analogies with Word Embeddings.srt
|
SRT
|
3.6 KB
|
|
|
3. (Review) Tensorflow Basics.mp4
|
MP4
|
81.4 MB
|
|
|
3. (Review) Tensorflow Basics.srt
|
SRT
|
10.2 KB
|
|
|
3. Gated Recurrent Unit (GRU).mp4
|
MP4
|
9 MB
|
|
|
3. Gated Recurrent Unit (GRU).srt
|
SRT
|
7.2 KB
|
|
|
3. How to Succeed in this Course.mp4
|
MP4
|
3.3 MB
|
|
|
3. How to Succeed in this Course.srt
|
SRT
|
7.5 KB
|
|
|
3. Representing a sequence of words as a sequence of word embeddings.mp4
|
MP4
|
5.4 MB
|
|
|
3. Representing a sequence of words as a sequence of word embeddings.srt
|
SRT
|
4.3 KB
|
|
|
3. Unfolding a Recurrent Network.mp4
|
MP4
|
3.2 MB
|
|
|
3. Unfolding a Recurrent Network.srt
|
SRT
|
2.6 KB
|
|
|
3. Windows-Focused Environment Setup 2018.mp4
|
MP4
|
186.4 MB
|
|
|
3. Windows-Focused Environment Setup 2018.srt
|
SRT
|
36.5 KB
|
|
|
4. (Review) Tensorflow Neural Network in Code.mp4
|
MP4
|
97.3 MB
|
|
|
4. (Review) Tensorflow Neural Network in Code.srt
|
SRT
|
10 KB
|
|
|
4. Backpropagation Through Time (BPTT).mp4
|
MP4
|
7.1 MB
|
|
|
4. Backpropagation Through Time (BPTT).srt
|
SRT
|
6.1 KB
|
|
|
4. GRU in Code.mp4
|
MP4
|
15.1 MB
|
|
|
4. GRU in Code.srt
|
SRT
|
4.2 KB
|
|
|
4. Generating Poetry.mp4
|
MP4
|
7.5 MB
|
|
|
4. Generating Poetry.srt
|
SRT
|
5.9 KB
|
|
|
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
|
MP4
|
43.9 MB
|
|
|
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
|
SRT
|
25.4 KB
|
|
|
4. Where to get the Code and Data.mp4
|
MP4
|
3.1 MB
|
|
|
4. Where to get the Code and Data.srt
|
SRT
|
2.6 KB
|
|
|
5. Generating Poetry in Code (part 1).mp4
|
MP4
|
52.4 MB
|
|
|
5. Generating Poetry in Code (part 1).srt
|
SRT
|
14.9 KB
|
|
|
5. How to Code by Yourself (part 1).mp4
|
MP4
|
24.5 MB
|
|
|
5. How to Code by Yourself (part 1).srt
|
SRT
|
40.6 KB
|
|
|
5. Long Short-Term Memory (LSTM).mp4
|
MP4
|
7.6 MB
|
|
|
5. Long Short-Term Memory (LSTM).srt
|
SRT
|
5.7 KB
|
|
|
5. Preprocessed Wikipedia Data.mp4
|
MP4
|
21.6 MB
|
|
|
5. Preprocessed Wikipedia Data.srt
|
SRT
|
4.1 KB
|
|
|
5. The Parity Problem - XOR on Steroids.mp4
|
MP4
|
7.8 MB
|
|
|
5. The Parity Problem - XOR on Steroids.srt
|
SRT
|
6.2 KB
|
|
|
6. Generating Poetry in Code (part 2).mp4
|
MP4
|
13.6 MB
|
|
|
6. Generating Poetry in Code (part 2).srt
|
SRT
|
3.2 KB
|
|
|
6. How to Code by Yourself (part 2).mp4
|
MP4
|
14.8 MB
|
|
|
6. How to Code by Yourself (part 2).srt
|
SRT
|
23.9 KB
|
|
|
6. LSTM in Code.mp4
|
MP4
|
19.4 MB
|
|
|
6. LSTM in Code.srt
|
SRT
|
6 KB
|
|
|
6. The Parity Problem in Code using a Feedforward ANN.mp4
|
MP4
|
38.3 MB
|
|
|
6. The Parity Problem in Code using a Feedforward ANN.srt
|
SRT
|
11.7 KB
|
|
|
7. Classifying Poetry.mp4
|
MP4
|
6.3 MB
|
|
|
7. Classifying Poetry.srt
|
SRT
|
4.8 KB
|
|
|
7. How to Succeed in this Course (Long Version).mp4
|
MP4
|
13 MB
|
|
|
7. How to Succeed in this Course (Long Version).srt
|
SRT
|
25.9 KB
|
|
|
7. Learning from Wikipedia Data.mp4
|
MP4
|
12.7 MB
|
|
|
7. Learning from Wikipedia Data.srt
|
SRT
|
15.6 KB
|
|
|
7. Theano Scan Tutorial.mp4
|
MP4
|
23.8 MB
|
|
|
7. Theano Scan Tutorial.srt
|
SRT
|
12.7 KB
|
|
|
8. Alternative to Wikipedia Data Brown Corpus.mp4
|
MP4
|
12.5 MB
|
|
|
8. Alternative to Wikipedia Data Brown Corpus.srt
|
SRT
|
14.5 KB
|
|
|
8. Classifying Poetry in Code.mp4
|
MP4
|
45.9 MB
|
|
|
8. Classifying Poetry in Code.srt
|
SRT
|
12.5 KB
|
|
|
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
|
MP4
|
39 MB
|
|
|
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
|
SRT
|
57.8 KB
|
|
|
8. The Parity Problem in Code using a Recurrent Neural Network.mp4
|
MP4
|
37.5 MB
|
|
|
8. The Parity Problem in Code using a Recurrent Neural Network.srt
|
SRT
|
12.4 KB
|
|
|
9. Learning from Wikipedia Data in Code (part 1).mp4
|
MP4
|
48.7 MB
|
|
|
9. Learning from Wikipedia Data in Code (part 1).srt
|
SRT
|
15.1 KB
|
|
|
9. On Adding Complexity.mp4
|
MP4
|
2.4 MB
|
|
|
9. On Adding Complexity.srt
|
SRT
|
1.8 KB
|
|
|
9. Proof that using Jupyter Notebook is the same as not using it.mp4
|
MP4
|
78.3 MB
|
|
|
9. Proof that using Jupyter Notebook is the same as not using it.srt
|
SRT
|
25.2 KB
|
|
|
Verify Files.txt
|
TXT
|
1 KB
|
|
|
[FreeAllCourse.Com].url
|
URL
|
102 B
|
![Udemy - Deep Learning: Recurrent Neural Networks in Python [FreeAllCourse]](/upload_files/resize_cache/torrents-posters/2ee/174_260_2/2eea8c2f5d82100ec650393f9b9109e6.jpg "Udemy - Deep Learning: Recurrent Neural Networks in Python [FreeAllCourse]")
