Udemy-Deep-Learning-Recu-1oxSd
- 01 Introduction and Outline\\/001 Outline of this Course.mp44.93MB
- 01 Introduction and Outline\\/002 Review of Important Deep Learning Concepts.mp45.68MB
- 01 Introduction and Outline\\/003 Where to get the Code and Data.mp43.12MB
- 01 Introduction and Outline\\/004 How to Succeed in this Course.mp49.52MB
- 02 The Simple Recurrent Unit\\/005 Architecture of a Recurrent Unit.mp47.74MB
- 02 The Simple Recurrent Unit\\/006 Prediction and Relationship to rkov Models.mp48.97MB
- 02 The Simple Recurrent Unit\\/007 Unfolding a Recurrent Network.mp43.21MB
- 02 The Simple Recurrent Unit\\/008 Backpropagation Through Time BPTT.mp47.14MB
- 02 The Simple Recurrent Unit\\/009 The Parity Problem - XOR on Steroids.mp47.78MB
- 02 The Simple Recurrent Unit\\/010 The Parity Problem in Code using a Feedforward ANN.mp438.33MB
- 02 The Simple Recurrent Unit\\/011 Theano Scan Tutorial.mp423.76MB
- 02 The Simple Recurrent Unit\\/012 The Parity Problem in Code using a Recurrent Neural Network.mp437.48MB
- 02 The Simple Recurrent Unit\\/013 On Adding Complexity.mp42.39MB
- 03 Recurrent Neural Networks for NLP\\/014 Word em<x>beddings and Recurrent Neural Networks.mp48.69MB
- 03 Recurrent Neural Networks for NLP\\/015 Word Analogies with Word em<x>beddings.mp44.18MB
- 03 Recurrent Neural Networks for NLP\\/016 Representing a sequence of words as a sequence of word em<x>beddings.mp45.43MB
- 03 Recurrent Neural Networks for NLP\\/017 Generating Poetry.mp47.53MB
- 03 Recurrent Neural Networks for NLP\\/018 Generating Poetry in Code part 1.mp452.43MB
- 03 Recurrent Neural Networks for NLP\\/019 Generating Poetry in Code part 2.mp413.59MB
- 03 Recurrent Neural Networks for NLP\\/020 Classifying Poetry.mp46.28MB
- 03 Recurrent Neural Networks for NLP\\/021 Classifying Poetry in Code.mp445.86MB
- 04 Advanced RNN Units\\/022 Rated RNN Unit.mp46.04MB
- 04 Advanced RNN Units\\/023 RRNN in Code - Revisiting Poetry Generation.mp425.41MB
- 04 Advanced RNN Units\\/024 Gated Recurrent Unit GRU.mp49.03MB
- 04 Advanced RNN Units\\/025 GRU in Code.mp415.06MB
- 04 Advanced RNN Units\\/026 Long Short-Term Memory LSTM.mp47.61MB
- 04 Advanced RNN Units\\/027 LSTM in Code.mp419.38MB
- 04 Advanced RNN Units\\/028 Learning from Wikipedia Data.mp412.75MB
- 04 Advanced RNN Units\\/029 Alternative to Wikipedia Data Brown Corpus.mp412.49MB
- 04 Advanced RNN Units\\/030 Learning from Wikipedia Data in Code part 1.mp448.69MB
- 04 Advanced RNN Units\\/031 Learning from Wikipedia Data in Code part 2.mp425.61MB
- 04 Advanced RNN Units\\/032 Visualizing the Word em<x>beddings.mp423.49MB
- 05 Batch Training\\/033 Batch Training for Simple RNN.mp416.55MB
- 06 TensorFlow\\/034 Simple RNN in TensorFlow.mp411.99MB
- 07 Appendix\\/035 How to install wp2txt or WikiExtractor.py.mp43.77MB
- 07 Appendix\\/036 How to install Numpy Scipy tplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
- 07 Appendix\\/037 How to Code by Yourself part 1.mp424.53MB
- 07 Appendix\\/038 How to Code by Yourself part 2.mp414.80MB
- 07 Appendix\\/039 BONUS Where to get Udemy coupons and FREE deep learning terial.mp44.02MB
- CreateTime2022-12-22
- UpdateTime2022-12-28
- FileTotalCount41
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