[FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python torrent, magnet, bt

Latest Search: 1.atkgirlfriends 24.04.05 2.Life Force 3.FC2PPV4559163 4.bdys 5.Pirates.of.the.Caribbean+truehd

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

magnet:?xt=urn:btih:40AAD6F888B81AE8FA8BEFA1E18BD79BC562385F&dn=%5BFreeAllCourse.Com%5D%20Udemy%20-%20Deep%20Learning%20Recurrent%20Neural%20Networks%20in%20Python

QR Code Copy to Clipboard Open with BT Client

Torrent Hash:

40AAD6F888B81AE8FA8BEFA1E18BD79BC562385F

Number of Files:

111

Content Size:

1.43GB

Convert On:

2020-06-07

Keywords:

FreeAllCourse Com Udemy Deep Learning Recurrent Neural Networks in Python

Magnet Link:

magnet:?xt=urn:btih:40AAD6F888B81AE8FA8BEFA1E18BD79BC562385F&dn=%5BFreeAllCourse.Com%5D%20Udemy%20-%20Deep%20Learning%20Recurrent%20Neural%20Networks%20in%20Python

Link:

//btsow.motorcycles/magnet/detail/hash/40AAD6F888B81AE8FA8BEFA1E18BD79BC562385F

Download

Play Now

File Name

Size

8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4

186.45MB

Verify Files.txt

1.03KB

0. Websites you may like/[FreeAllCourse.Com].url

52B

1. Introduction and Outline/1. Outline of this Course.mp4

4.93MB

1. Introduction and Outline/1. Outline of this Course.srt

4.81KB

1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4

5.69MB

1. Introduction and Outline/2. Review of Important Deep Learning Concepts.srt

5.13KB

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

3.31MB

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

7.5KB

1. Introduction and Outline/4. Where to get the Code and Data.mp4

3.13MB

1. Introduction and Outline/4. Where to get the Code and Data.srt

2.57KB

1. Introduction and Outline/5. Preprocessed Wikipedia Data.mp4

21.58MB

1. Introduction and Outline/5. Preprocessed Wikipedia Data.srt

4.14KB

2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4

7.75MB

2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.srt

6.61KB

2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4

8.98MB

2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.srt

7.53KB

2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.mp4

3.21MB

2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.srt

2.6KB

2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4

7.15MB

2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).srt

6.1KB

2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4

7.78MB

2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.srt

6.21KB

2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4

38.33MB

2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.srt

11.7KB

2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4

23.76MB

2. The Simple Recurrent Unit/7. Theano Scan Tutorial.srt

12.75KB

2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4

37.48MB

2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.srt

12.42KB

2. The Simple Recurrent Unit/9. On Adding Complexity.mp4

2.4MB

2. The Simple Recurrent Unit/9. On Adding Complexity.srt

1.75KB

2. The Simple Recurrent Unit/10. Suggestion Box.mp4

15.78MB

2. The Simple Recurrent Unit/10. Suggestion Box.srt

4.83KB

3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4

8.69MB

3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.srt

7.39KB

3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4

4.18MB

3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.srt

3.58KB

3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4

5.44MB

3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.srt

4.33KB

3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4

7.53MB

3. Recurrent Neural Networks for NLP/4. Generating Poetry.srt

5.92KB

3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4

52.43MB

3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).srt

14.88KB

3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4

13.6MB

3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).srt

3.22KB

3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4

6.28MB

3. Recurrent Neural Networks for NLP/7. Classifying Poetry.srt

4.78KB

3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4

45.86MB

3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.srt

12.52KB

4. Advanced RNN Units/1. Rated RNN Unit.mp4

6.04MB

4. Advanced RNN Units/1. Rated RNN Unit.srt

5.13KB

4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4

25.42MB

4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.srt

6.38KB

4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).mp4

9.04MB

4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).srt

7.15KB

4. Advanced RNN Units/4. GRU in Code.mp4

15.07MB

4. Advanced RNN Units/4. GRU in Code.srt

4.23KB

4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).mp4

7.62MB

4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).srt

5.69KB

4. Advanced RNN Units/6. LSTM in Code.mp4

19.38MB

4. Advanced RNN Units/6. LSTM in Code.srt

6.02KB

4. Advanced RNN Units/7. Learning from Wikipedia Data.mp4

12.75MB

4. Advanced RNN Units/7. Learning from Wikipedia Data.srt

15.57KB

4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.mp4

12.49MB

4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.srt

14.5KB

4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4

48.69MB

4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).srt

15.14KB

4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4

25.61MB

4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).srt

6.34KB

4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4

23.5MB

4. Advanced RNN Units/11. Visualizing the Word Embeddings.srt

10.15KB

5. Batch Training/1. Batch Training for Simple RNN.mp4

16.56MB

5. Batch Training/1. Batch Training for Simple RNN.srt

23.41KB

6. TensorFlow/1. Simple RNN in TensorFlow.mp4

12MB

6. TensorFlow/1. Simple RNN in TensorFlow.srt

18.95KB

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

93.47MB

7. Basics Review/1. (Review) Theano Basics.srt

13.31KB

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

87.04MB

7. Basics Review/2. (Review) Theano Neural Network in Code.srt

6.71KB

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

81.45MB

7. Basics Review/3. (Review) Tensorflow Basics.srt

10.21KB

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

97.34MB

7. Basics Review/4. (Review) Tensorflow Neural Network in Code.srt

9.97KB

8. Appendix FAQ/1. What is the Appendix.mp4

5.46MB

8. Appendix FAQ/1. What is the Appendix.srt

6.3KB

8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.mp4

3.78MB

8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.srt

5.79KB

[FreeAllCourse.Com].url

52B

8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt

36.46KB

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

43.92MB

8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt

25.4KB

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

24.54MB

8. Appendix FAQ/5. How to Code by Yourself (part 1).srt

40.6KB

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

14.8MB

8. Appendix FAQ/6. How to Code by Yourself (part 2).srt

23.9KB

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

12.99MB

8. Appendix FAQ/7. How to Succeed in this Course (Long Version).srt

25.88KB

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

38.96MB

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

57.78KB

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

78.31MB

8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.srt

25.19KB

8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4

37.8MB

8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.srt

8.37KB

8. Appendix FAQ/11. Python 2 vs Python 3.mp4

7.83MB

8. Appendix FAQ/11. Python 2 vs Python 3.srt

11.06KB

8. Appendix FAQ/12. Is Theano Dead.mp4

17.81MB

8. Appendix FAQ/12. Is Theano Dead.srt

23.65KB

8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4

29.33MB

8. Appendix FAQ/13. What order should I take your courses in (part 1).srt

29.35KB

8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4

37.62MB

8. Appendix FAQ/14. What order should I take your courses in (part 2).srt

43.43KB

Latest Search:

1.atkgirlfriends 24.04.05 2.Life Force 3.FC2PPV4559163 4.bdys 5.Pirates.of.the.Caribbean+truehd 6.TopNotchBitches 7.JanaFox 8.fiasco 9.SoushkinBoudera 10.強姦 11.CHUNGHA 12.zipang 8089 13.kin8tengoku1316 14.Asian-4-You 15.寶七 16.shkd733 17.beverly hills cop 1 2 3 18.maigret 2016 19.BratTamer.25.01.27.Myra.Moans 20.AMERI_CA 一ノ瀬アメリ 21.cougar 22.rape girl 23.blk-634 24.Sous le meme toit 2017 25.mario salieri 26.More Than a Game 27.Poti 28.City Guys S04 29.39&40 30.czech