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[FreeTutorials.Us] natural-language-processing-with-deep-learning-in-python
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45个文件
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665.41 MB
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2018-2-13 15:09
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[FreeTutorials.Us] natural-language-processing-with-deep-learning-in-python.torrent
01 Outline Review and Logistical Things/001 Introduction Outline and Review.mp44.48MB
01 Outline Review and Logistical Things/002 Where to get the code data for this course.mp43.13MB
01 Outline Review and Logistical Things/003 How to Succeed in this Course.mp49.52MB
02 Word Embeddings and Word2Vec/004 Alternative to Wikipedia Data Brown Corpus.mp412.49MB
02 Word Embeddings and Word2Vec/005 What is a word embedding.mp418MB
02 Word Embeddings and Word2Vec/006 Using pre-trained word embeddings.mp44.05MB
02 Word Embeddings and Word2Vec/007 Word analogies using word embeddings.mp46.61MB
02 Word Embeddings and Word2Vec/008 TF-IDF and t-SNE experiment.mp426.75MB
02 Word Embeddings and Word2Vec/009 Word2Vec introduction.mp48.82MB
02 Word Embeddings and Word2Vec/010 CBOW.mp44.22MB
02 Word Embeddings and Word2Vec/011 Skip-Gram.mp46.28MB
02 Word Embeddings and Word2Vec/012 Negative Sampling.mp413.54MB
02 Word Embeddings and Word2Vec/013 Why do I have 2 word embedding matrices and what do I do with them.mp42.55MB
02 Word Embeddings and Word2Vec/014 Word2Vec in Code with Numpy part 1.mp453.71MB
02 Word Embeddings and Word2Vec/015 Word2Vec in Code with Numpy part 2.mp45.97MB
02 Word Embeddings and Word2Vec/016 Converting a sequence of word indexes to a sequence of word vectors.mp45.45MB
02 Word Embeddings and Word2Vec/017 How to update only part of a Theano shared variable.mp49.18MB
02 Word Embeddings and Word2Vec/018 Word2Vec in Code with Theano.mp431.05MB
03 Word Embeddings using GLoVe/019 Recommender systems and matrix factorization tutorial.mp418.94MB
03 Word Embeddings using GLoVe/020 GLoVe - Global Vectors for Word Representation.mp47.06MB
03 Word Embeddings using GLoVe/021 GLoVe in Code - Numpy Gradient Descent.mp441.85MB
03 Word Embeddings using GLoVe/022 GLoVe in Code - Theano Gradient Descent.mp412.57MB
03 Word Embeddings using GLoVe/023 GLoVe in Code - Alternating Least Squares.mp411.65MB
03 Word Embeddings using GLoVe/024 Visualizing country analogies with t-SNE.mp49.18MB
03 Word Embeddings using GLoVe/025 Hyperparameter Challenge.mp44.04MB
04 Using Neural Networks to Solve NLP Problems/026 Parts-of-Speech POS Tagging.mp48.51MB
04 Using Neural Networks to Solve NLP Problems/027 Parts-of-Speech Tagging Baseline.mp439.86MB
04 Using Neural Networks to Solve NLP Problems/028 Parts-of-Speech Tagging Recurrent Neural Network.mp434.81MB
04 Using Neural Networks to Solve NLP Problems/029 Parts-of-Speech Tagging Hidden Markov Model HMM.mp414.38MB
04 Using Neural Networks to Solve NLP Problems/030 Named Entity Recognition NER.mp44.95MB
04 Using Neural Networks to Solve NLP Problems/031 Named Entity Recognition Baseline.mp414.9MB
04 Using Neural Networks to Solve NLP Problems/032 Named Entity Recognition RNN.mp45.39MB
04 Using Neural Networks to Solve NLP Problems/033 Hyperparameter Challenge II.mp43.83MB
05 Recursive Neural Networks Tree Neural Networks/034 Data Description for Recursive Neural Networks.mp411.54MB
05 Recursive Neural Networks Tree Neural Networks/035 What are Recursive Neural Networks Tree Neural Networks TNNs.mp49.51MB
05 Recursive Neural Networks Tree Neural Networks/036 Building a TNN with Recursion.mp48.09MB
05 Recursive Neural Networks Tree Neural Networks/037 Trees to Sequences.mp411.16MB
05 Recursive Neural Networks Tree Neural Networks/038 Recursive Neural Network in Theano.mp452.51MB
05 Recursive Neural Networks Tree Neural Networks/039 Recursive Neural Tensor Networks.mp411.09MB
05 Recursive Neural Networks Tree Neural Networks/040 Recursive Neural Network in TensorFlow with Recursion.mp412.74MB
06 Appendix/041 How to install wp2txt or WikiExtractor.py.mp43.77MB
06 Appendix/042 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
06 Appendix/043 How to Code by Yourself part 1.mp424.53MB
06 Appendix/044 How to Code by Yourself part 2.mp414.8MB
06 Appendix/045 BONUS Where to get Udemy coupons and FREE deep learning material.mp44.02MB