CMU Advanced NLP: Text Classification

Dive into advanced natural language processing concepts in this lecture from Carnegie Mellon University's CS 11-711 course. Explore neural networks and their toolkits, learn to define differentiable functions, and master the forward and backward algorithms. Gain insights into parameter updates and practical training techniques. Enhance your understanding of text classification through in-depth discussions on topics like bag of words, tensor data structures, initialization methods, and strategies to combat overfitting.

Intro
Bag of Words
Algorithm Sketch
Tensors
Tensor Data Structure
initialization
uniform initialization
other methods
model
computation
operations
rectified linear unit
chain rule
back propagation
backward code
parameter updates
update sparse
edigrad
atom
training tricks
overfitting