Word2Vec Resources
While researching Word2Vec, I came across a lot of different resources of varying usefullness, so I thought I’d share my collection of links and notes on what they contain.
Word2Vec Tutorial - The Skip-Gram Model
This tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual introductory and abstract insights about Word2Vec, and get into more of the details. Specifically here I’m diving into the skip gram neural network model.
Google's trained Word2Vec model in Python
In this post I’m going to describe how to get Google’s pre-trained Word2Vec model up and running in Python to play with.
Latent Semantic Analysis (LSA) for Text Classification Tutorial
In this post I'll provide a tutorial of Latent Semantic Analysis as well as some Python example code that shows the technique in action.
Jeff Dean Keynote at GTC 2015
Nvidia puts on its GPU Technology Conference (GTC) each year to highlight work being done on GPUs outside of graphics–including machine learning.