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[FreeAllCourse Com] Udemy - Deep Learning Recurrent Neural Networks in Python
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8. Appendix FAQ (Size: 1.43 GB) (Files: 111)
8. Appendix FAQ
3. Windows-Focused Environment Setup 2018.mp4
1. What is the Appendix.mp4
1. What is the Appendix.srt
2. How to install wp2txt or WikiExtractor.py.mp4
2. How to install wp2txt or WikiExtractor.py.srt
3. Windows-Focused Environment Setup 2018.srt
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
5. How to Code by Yourself (part 1).mp4
5. How to Code by Yourself (part 1).srt
6. How to Code by Yourself (part 2).mp4
6. How to Code by Yourself (part 2).srt
7. How to Succeed in this Course (Long Version).mp4
7. How to Succeed in this Course (Long Version).srt
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
9. Proof that using Jupyter Notebook is the same as not using it.mp4
9. Proof that using Jupyter Notebook is the same as not using it.srt
10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
10. BONUS Where to get Udemy coupons and FREE deep learning material.srt
11. Python 2 vs Python 3.mp4
11. Python 2 vs Python 3.srt
12. Is Theano Dead.mp4
12. Is Theano Dead.srt
13. What order should I take your courses in (part 1).mp4
13. What order should I take your courses in (part 1).srt
14. What order should I take your courses in (part 2).mp4
14. What order should I take your courses in (part 2).srt
Verify Files.txt
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1. Introduction and Outline
1. Outline of this Course.mp4
1. Outline of this Course.srt
2. Review of Important Deep Learning Concepts.mp4
2. Review of Important Deep Learning Concepts.srt
3. How to Succeed in this Course.mp4
3. How to Succeed in this Course.srt
4. Where to get the Code and Data.mp4
4. Where to get the Code and Data.srt
5. Preprocessed Wikipedia Data.mp4
5. Preprocessed Wikipedia Data.srt
2. The Simple Recurrent Unit
1. Architecture of a Recurrent Unit.mp4
1. Architecture of a Recurrent Unit.srt
2. Prediction and Relationship to Markov Models.mp4
2. Prediction and Relationship to Markov Models.srt
3. Unfolding a Recurrent Network.mp4
3. Unfolding a Recurrent Network.srt
4. Backpropagation Through Time (BPTT).mp4
4. Backpropagation Through Time (BPTT).srt
5. The Parity Problem - XOR on Steroids.mp4
5. The Parity Problem - XOR on Steroids.srt
6. The Parity Problem in Code using a Feedforward ANN.mp4
6. The Parity Problem in Code using a Feedforward ANN.srt
7. Theano Scan Tutorial.mp4
7. Theano Scan Tutorial.srt
8. The Parity Problem in Code using a Recurrent Neural Network.mp4
8. The Parity Problem in Code using a Recurrent Neural Network.srt
9. On Adding Complexity.mp4
9. On Adding Complexity.srt
10. Suggestion Box.mp4
10. Suggestion Box.srt
3. Recurrent Neural Networks for NLP
1. Word Embeddings and Recurrent Neural Networks.mp4
1. Word Embeddings and Recurrent Neural Networks.srt
2. Word Analogies with Word Embeddings.mp4
2. Word Analogies with Word Embeddings.srt
3. Representing a sequence of words as a sequence of word embeddings.mp4
3. Representing a sequence of words as a sequence of word embeddings.srt
4. Generating Poetry.mp4
4. Generating Poetry.srt
5. Generating Poetry in Code (part 1).mp4
5. Generating Poetry in Code (part 1).srt
6. Generating Poetry in Code (part 2).mp4
6. Generating Poetry in Code (part 2).srt
7. Classifying Poetry.mp4
7. Classifying Poetry.srt
8. Classifying Poetry in Code.mp4
8. Classifying Poetry in Code.srt
4. Advanced RNN Units
1. Rated RNN Unit.mp4
1. Rated RNN Unit.srt
2. RRNN in Code - Revisiting Poetry Generation.mp4
2. RRNN in Code - Revisiting Poetry Generation.srt
3. Gated Recurrent Unit (GRU).mp4
3. Gated Recurrent Unit (GRU).srt
4. GRU in Code.mp4
4. GRU in Code.srt
5. Long Short-Term Memory (LSTM).mp4
5. Long Short-Term Memory (LSTM).srt
6. LSTM in Code.mp4
6. LSTM in Code.srt
7. Learning from Wikipedia Data.mp4
7. Learning from Wikipedia Data.srt
8. Alternative to Wikipedia Data Brown Corpus.mp4
8. Alternative to Wikipedia Data Brown Corpus.srt
9. Learning from Wikipedia Data in Code (part 1).mp4
9. Learning from Wikipedia Data in Code (part 1).srt
10. Learning from Wikipedia Data in Code (part 2).mp4
10. Learning from Wikipedia Data in Code (part 2).srt
11. Visualizing the Word Embeddings.mp4
11. Visualizing the Word Embeddings.srt
5. Batch Training
1. Batch Training for Simple RNN.mp4
1. Batch Training for Simple RNN.srt
6. TensorFlow
1. Simple RNN in TensorFlow.mp4
1. Simple RNN in TensorFlow.srt
7. Basics Review
1. (Review) Theano Basics.mp4
1. (Review) Theano Basics.srt
2. (Review) Theano Neural Network in Code.mp4
2. (Review) Theano Neural Network in Code.srt
3. (Review) Tensorflow Basics.mp4
3. (Review) Tensorflow Basics.srt
4. (Review) Tensorflow Neural Network in Code.mp4
4. (Review) Tensorflow Neural Network in Code.srt
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