[UdemyCourseDownloader] Deep Learning Recurrent Neural Networks in Python
- 收录时间:2019-04-02 22:21:34
- 文件大小:1GB
- 下载次数:31
- 最近下载:2020-10-31 22:10:06
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文件列表
- 8. Appendix/3. Windows-Focused Environment Setup 2018.mp4 186MB
- 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 97MB
- 7. Basics Review/1. (Review) Theano Basics.mp4 93MB
- 7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 87MB
- 7. Basics Review/3. (Review) Tensorflow Basics.mp4 81MB
- 8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
- 3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 52MB
- 4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 49MB
- 3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 46MB
- 8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
- 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
- 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 38MB
- 8. Appendix/14. What order should I take your courses in (part 2).mp4 38MB
- 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 37MB
- 8. Appendix/13. What order should I take your courses in (part 1).mp4 29MB
- 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26MB
- 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 25MB
- 8. Appendix/5. How to Code by Yourself (part 1).mp4 25MB
- 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24MB
- 4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 23MB
- 4. Advanced RNN Units/6. LSTM in Code.mp4 19MB
- 8. Appendix/12. Is Theano Dead.mp4 18MB
- 5. Batch Training/1. Batch Training for Simple RNN.mp4 17MB
- 4. Advanced RNN Units/4. GRU in Code.mp4 15MB
- 8. Appendix/6. How to Code by Yourself (part 2).mp4 15MB
- 3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4 14MB
- 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 13MB
- 4. Advanced RNN Units/7. Learning from Wikipedia Data.mp4 13MB
- 4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.mp4 12MB
- 6. TensorFlow/1. Simple RNN in TensorFlow.mp4 12MB
- 4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).mp4 9MB
- 2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4 9MB
- 3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4 9MB
- 8. Appendix/11. Python 2 vs Python 3.mp4 8MB
- 2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4 8MB
- 2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4 8MB
- 4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).mp4 8MB
- 3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4 8MB
- 2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4 7MB
- 3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4 6MB
- 4. Advanced RNN Units/1. Rated RNN Unit.mp4 6MB
- 1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4 6MB
- 8. Appendix/1. What is the Appendix.mp4 5MB
- 3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4 5MB
- 1. Introduction and Outline/1. Outline of this Course.mp4 5MB
- 3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4 4MB
- 8. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4MB
- 8. Appendix/2. How to install wp2txt or WikiExtractor.py.mp4 4MB
- 1. Introduction and Outline/4. How to Succeed in this Course.mp4 3MB
- 2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.mp4 3MB
- 1. Introduction and Outline/3. Where to get the Code and Data.mp4 3MB
- 2. The Simple Recurrent Unit/9. On Adding Complexity.mp4 2MB
- 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 30KB
- 8. Appendix/14. What order should I take your courses in (part 2).vtt 22KB
- 8. Appendix/5. How to Code by Yourself (part 1).vtt 21KB
- 8. Appendix/3. Windows-Focused Environment Setup 2018.vtt 19KB
- 8. Appendix/13. What order should I take your courses in (part 1).vtt 15KB
- 8. Appendix/7. How to Succeed in this Course (Long Version).vtt 14KB
- 8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 14KB
- 4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).vtt 13KB
- 8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 13KB
- 3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).vtt 13KB
- 5. Batch Training/1. Batch Training for Simple RNN.vtt 12KB
- 8. Appendix/6. How to Code by Yourself (part 2).vtt 12KB
- 8. Appendix/12. Is Theano Dead.vtt 12KB
- 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.vtt 11KB
- 3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.vtt 11KB
- 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.vtt 11KB
- 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.vtt 10KB
- 6. TensorFlow/1. Simple RNN in TensorFlow.vtt 10KB
- 4. Advanced RNN Units/11. Visualizing the Word Embeddings.vtt 9KB
- 4. Advanced RNN Units/7. Learning from Wikipedia Data.vtt 9KB
- 4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.vtt 8KB
- 7. Basics Review/1. (Review) Theano Basics.vtt 7KB
- 2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.vtt 7KB
- 3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.vtt 7KB
- 4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).vtt 6KB
- 2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.vtt 6KB
- 8. Appendix/11. Python 2 vs Python 3.vtt 6KB
- 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.vtt 6KB
- 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).vtt 6KB
- 2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.vtt 6KB
- 7. Basics Review/3. (Review) Tensorflow Basics.vtt 6KB
- 2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).vtt 6KB
- 3. Recurrent Neural Networks for NLP/4. Generating Poetry.vtt 5KB
- 4. Advanced RNN Units/6. LSTM in Code.vtt 5KB
- 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.vtt 5KB
- 4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).vtt 5KB
- 1. Introduction and Outline/2. Review of Important Deep Learning Concepts.vtt 5KB
- 4. Advanced RNN Units/1. Rated RNN Unit.vtt 5KB
- 1. Introduction and Outline/1. Outline of this Course.vtt 4KB
- 3. Recurrent Neural Networks for NLP/7. Classifying Poetry.vtt 4KB
- 3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.vtt 4KB
- 4. Advanced RNN Units/4. GRU in Code.vtt 4KB
- 1. Introduction and Outline/4. How to Succeed in this Course.vtt 4KB
- 7. Basics Review/2. (Review) Theano Neural Network in Code.vtt 4KB
- 8. Appendix/1. What is the Appendix.vtt 3KB
- 3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.vtt 3KB
- 8. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt 3KB
- 8. Appendix/2. How to install wp2txt or WikiExtractor.py.vtt 3KB
- 3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).vtt 3KB
- 2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.vtt 2KB
- 1. Introduction and Outline/3. Where to get the Code and Data.vtt 2KB
- 2. The Simple Recurrent Unit/9. On Adding Complexity.vtt 2KB
- udemycoursedownloader.com.url 132B
- Udemy Course downloader.txt 94B