Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python)

In this video we will discuss how exactly word embeddings are computed. There are two techniques for this (1) supervised learning (2) self supervised learning techniques such as word2vec, glove. In this tutorial we will look at the first technique of supervised learning. We will also write code for food review classification and see how word embeddings are calculated while solving that problem

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#WordEmbeddingUsingKeras #WordEmbedding #EmbeddingLayerKeras #WordEmbeddingdeeplearning #WordembeddingswithKeras #wordembeddinginpython #wordembeddingpython #wordembeddingtensorflow

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

[changqi]

I have to see you are a amazing mentor. Your tutorial insights me so much. 10 minutes ago, I have nothing about embedding tables. But now I transparently know it.

[alifia]

Thank you so much for sharing! Just starting out with tensorflow, you have saved me a lot of time, please keep sharing:)

[JIUSIZHENG]

It‘s definitely the best video to learn word embedding on Youtube.

[tmorid]

Thank you very much for this and previous videos. Exaplaning very clearly about embedding .

[ojsrktf]

Thanks a lot for all the contents. Your explanation is really awesome.

[prernasingh]

Thank you for such a nice video, it was very informative and easy to understand. Keep it up

[jerkmeo]

very awesome and easy to understand video...thanks mate

[koushik]

Amazing Dhaval... It gave me a very clear idea.

[djs]

Hi, Thank you so much for all these wonderful set of videos. Can you kindly upload something related to the Time Distributed layer and what it exactly does?

[himanshusirsat]

Thank you so much for this wonderful video

[TheVerbalAxiom]

THANK you so much for this tutorial. It's taught me a lot I really needed to know! I'm subscribing. I hope you'll continue to make more in depth videos about Tensorflow and all machine learning topics!

[hardikvegad]

Sir Amazing Explanation. Please make a video on Glove. Thank you.

[jyotikokate]

That was a very valuable tutorial, thank you very much Sir!!!

[marcusrose]

You're amazing keep doing what you're doing, also do you have any reinforcement learning theory videos.

[sergiochavezlazo]

Another amazing video! Thank u so much. How can use this model to predict Y for new review comments that contains more or different words than in the training dataset?

[adityapradhan]

Great videos Sir, very informative . Could you please add next videos and complete playlist a little bit sooner so many academic people are studying from this playlist. Thank you for making such videos. eagerly waiting for word2vec and bert model

[regivm]

It is a great tutorial. Thanks. You have mentioned that you will paste the link of Jason Brownlee article.. but it is missing.

[mohammadkareem]

Great videos, keep it up. I was wondering how do we create users or items embedding? let's say to calculate similarity between 2 users to recommend a certain product?

[randb]

Great video! Thanks! How do we choose which words will be in our vocabulary? For example, if our voc is 5000 do we choose the most 5000 most frequent words?

[MLDSInsights]

Please add more data science, machine learning and deep learning projects. From beginner to advance level.