EE-Learning
End-to-End Models for Speech Processing
Catogry:
Computing
Subject:
Machine Learning
Course:
Natural Language Processing With Deep Learning
Lecture List
Tackling the Limits of Deep Learning for NLP
Issues in NLP and Possible Architectures for NLP
Dynamic Neural Networks for Question Answering
Coreference Resolution
Tree Recursive Neural Networks and Constituency Parsing
Convolutional Neural Networks
End-to-End Models for Speech Processing
Gated Recurrent Units and Further Topics in NMT
Neural Machine Translation and Models with Attention
Review Session: Midterm Review
Machine Translation and Advanced Recurrent LSTMs and GRUs
Recurrent Neural Networks and Language Models
Introduction to TensorFlow
Dependency Parsing
Backpropagation and Project Advice
Word Window Classification and Neural Networks
GloVe: Global Vectors for Word Representation
Word Vector Representations: word2vec
Natural Language Processing with Deep Learning