01 Word2vec From Scratch Using Tensorflow

Summary

gist.github.com/b1nch3f/4de3b372906f76575efac8cae4f199bf Credit jaketae.github.io/study/ In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. How do we represent word in a way that ML models can understand it. Word Embeddings is the Answer. There are many different ... Welcome to the first video in this series on NLP for Dive into Deep Learning UC Berkeley, STAT 157 Slides are at courses.d2l.ai The book is at d2l.ai. Machine learning models don't understand words. They should be converted to numbers before they are fed to RNN or any other ... Code: gist.github.com/b1nch3f/13dcbfae08be2ae9400e1ab063bde809 Credits: arxiv.org/pdf/1507.07998.pdf. Time stamps: 00:00:00 Introduction To Word Embeddings 00:06:50 Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popular approaches to ...