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Natural Language Processing with Deep Learning in Python
Outline, Review, and Logistical Things
Introduction, Outline, and Review (5:35)
Special Offer! Get the VIP version of this course (1:14)
Where to get the code / data for this course (9:17)
How to Succeed in this Course (5:51)
Word Embeddings and Word2Vec
Alternative to Wikipedia Data: Brown Corpus (6:03)
What is a word embedding? (10:00)
Using pre-trained word embeddings (2:17)
Word analogies using word embeddings (3:51)
TF-IDF and t-SNE experiment (12:24)
Word2Vec introduction (5:07)
CBOW (2:19)
Skip-Gram (3:30)
Negative Sampling (7:36)
Why do I have 2 word embedding matrices and what do I do with them? (1:36)
Word2Vec in Code with Numpy (part 1) (19:49)
Word2Vec in Code with Numpy (part 2) (1:53)
Converting a sequence of word indexes to a sequence of word vectors (3:14)
How to update only part of a Theano shared variable (5:29)
Word2Vec in Code with Theano (9:57)
Word Embeddings using GLoVe
Recommender systems and matrix factorization tutorial (11:08)
GLoVe - Global Vectors for Word Representation (4:12)
GLoVe in Code - Numpy Gradient Descent (16:48)
GLoVe in Code - Theano Gradient Descent (3:50)
GLoVe in Code - Alternating Least Squares (4:42)
Visualizing country analogies with t-SNE (4:25)
Hyperparameter Challenge (2:19)
Using Neural Networks to Solve NLP Problems
Parts-of-Speech (POS) Tagging (5:00)
Parts-of-Speech Tagging Baseline (15:18)
Parts-of-Speech Tagging Recurrent Neural Network (13:05)
Parts-of-Speech Tagging Hidden Markov Model (HMM) (5:58)
Named Entity Recognition (NER) (3:01)
Named Entity Recognition Baseline (5:54)
Named Entity Recognition RNN (2:19)
Hyperparameter Challenge II (2:13)
Recursive Neural Networks (Tree Neural Networks)
Data Description for Recursive Neural Networks (6:52)
What are Recursive Neural Networks / Tree Neural Networks (TNNs)? (5:41)
Building a TNN with Recursion (4:47)
Trees to Sequences (6:39)
Recursive Neural Network in Theano (18:34)
Recursive Neural Tensor Networks (6:22)
Recursive Neural Network in TensorFlow with Recursion (4:12)
Appendix
How to Code by Yourself (part 1) (15:54)
How to Code by Yourself (part 2) (9:23)
How to Succeed in this Course (Long Version) (10:24)
BONUS: Where to get discount coupons and FREE deep learning material (5:31)
Why do I have 2 word embedding matrices and what do I do with them?
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