Implementing Word Embedding Using Keras- NLP | Deep Learning

Word embeddings provide a dense representation of words and their relative meanings.They are an improvement over sparse representations used in simpler bag of word model representations.Word embeddings can be learned from text data and reused among projects. They can also be learned as part of fitting a neural network on text data.

Reference Link :https://machinelearningmastery.com/use-word-embedding-layers-deep-learning-keras/

Github Link: https://github.com/krishnaik06/Word-Embedding/blob/master/Untitled2.ipynb

Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join

Please do subscribe my other channel too
https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw
Connect with me here:

Twitter: https://twitter.com/Krishnaik06

Facebook: https://www.facebook.com/krishnaik06

instagram: https://www.instagram.com/krishnaik06

Видео Implementing Word Embedding Using Keras- NLP | Deep Learning канала Krish Naik