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课程目录
学员 1、Natural Language Processing with Deep Learning
01:11:40学员 2、Word Vector Representations: word2vec
01:18:16学员 3、GloVe: Global Vectors for Word Representation
01:18:39学员 4、Word Window Classification and Neural Networks
01:16:42学员 5、Backpropagation and Project Advice
01:18:19学员 6、Dependency Parsing
01:23:05学员 7、Introduction to TensorFlow
00:00学员 8、Recurrent Neural Networks and Language Models
01:18:02学员 9、Machine Translation and Advanced Recurrent LSTMs and GRUs
01:20:27学员 10、Review Session - Midterm Review
01:25:00学员 11、Neural Machine Translation and Models with Attention
01:21:23学员 12、Gated Recurrent Units and Further Topics in NMT
01:19:59学员 13、End-to-End Models for Speech Processing
01:16:34学员 14、Convolutional Neural Networks
01:22:11学员 15、Tree Recursive Neural Networks and Constituency Parsing
01:22:07学员 16、Coreference Resolution
01:20:44学员 17、Dynamic Neural Networks for Question Answering
01:18:14学员 18、Issues in NLP and Possible Architectures for NLP
01:18:57学员 19、Tackling the Limits of Deep Learning for NLP
01:20:41