NLP with PyTorch - doraithodla/notes GitHub Wiki

Notes

• Transforming text data to usable representations such as vectors, tensors, trees and computational graphs
• DL enables one to efficiently learn representations from text using abstractions called computational graphs
• Pytorch - Python based computational graph framework
• Back propagation - iteratively updating the parameters
• Static vs dynamic computational graphs
• CG as a representation of algebraic equations

Computational Linguistics (CL} Corpora, Tokens and Types

##To learn: -gradient descent, stochastic gradient descent, mini batch SGD

Transforming text data to usable representations such as vectors, tensors, trees and computational graphs

• DL enables one to efficiently learn representations from text using abstractions called computational graphs
• Pytorch - Python based computational graph framework
• Back propagation - iteratively updating the parameters
• Static vs dynamic computational graphs
• CG as a representation of algebraic equations

Computational Linguistics (CL} Corpora, Tokens and Types

To learn: -gradient descent, stochastic gradient descent, mini batch SGD