Additional-Final Project Report
Additional-Final project poster session
Additional-Project Milestone
Additional-Python review session
Assignment 1 Introduction to word vectors
Assignment 2 Derivatives and implementation of word2vec algorithm
Assignment 3 Dependency parsing and neural network foundations
Assignment 4 Neural Machine Translation with sequence-to-sequence and attention
Assignment 5 Neural Machine Translation with ConvNets and subword modeling
Lecture 01 Introduction and Word Vectors
Lecture 02 Word Vectors 2 and Word Senses
Lecture 03 Word Window Classification, Neural Networks, and Matrix Calculus
cs224n-2019-lecture03-neuralnets.pdf
cs224n-2019-notes03-neuralnets.pdf
matrix calculus notes.pdf
Lecture 04 Backpropagation and Computation Graphs
Lecture 05 Linguistic Structure Dependency Parsing
Lecture 06 The probability of a sentence Recurrent Neural Networks and Language Models
Lecture 07 Vanishing Gradients and Fancy RNNs
Lecture 08 Machine Translation, Seq2Seq and Attention
Lecture 09 Practical Tips for Final Projects
Lecture 10 Question Answering and the Default Final Project
Lecture 11 ConvNets for NLP
Lecture 12 Information from parts of words Subword Models
Lecture 13 Modeling contexts of use Contextual Representations and Pretraining
Lecture 14 Transformers and Self-Attention For Generative Models
Lecture 15 Natural Language Generation
Lecture 16 Reference in Language and Coreference Resolution
Lecture 18 Constituency Parsing and Tree Recursive Neural Networks
Lecture 19 Safety, Bias, and Fairness
Lecture 20 Future of NLP + Deep Learning
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