Word Embedding with Keras: A RStudio Tutorial

Published: 11 January 2020
on channel: LiquidBrain Bioinformatics
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Word embedding is a crucial type of natural language processing that represent words with a strings of vectors. Following a script created by Blog.rstudio, this tutorial explain the theory and concepts behind the technique line by line, and hopefully, help you to complete you 1st word embedding project in R.

This video also covers the basics in Keras, tensorflow and the machine learning that is required for the completion of the word embedding algorithm.

Resources
Original Tutorials
https://blogs.rstudio.com/tensorflow/...

Additional Resources
https://towardsdatascience.com/introd...
https://becominghuman.ai/how-does-wor...
https://betterexplained.com/articles/...

Script file
https://bit.ly/LB_Scripts

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Github: https://github.com/brandonyph
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