What is BERT? | Deep Learning Tutorial 46 (Tensorflow, Keras & Python)

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What is BERT (Bidirectional Encoder Representations From Transformers) and how it is used to solve NLP tasks? This video provides a very simple explanation of it. I am not going to go in details of how transformer based architecture works etc but instead I will go over an overview where you understand the usage of BERT in NLP tasks. In coding section we will generate sentence and word embeddings using BERT for some sample text.

We will cover various topics such as,
* Word2vec vc BERT
* How BERT is trained on masked language model and next sentence completion task

⭐️ Timestamps ⭐️
00:00 Introduction
00:39 Theory
11:00 Coding in tensorflow

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#bertmodelnlppython #tensorflowbert #tensorflowberttutorial #bert #bertneuralnetwork #bertdeeplearning #whatisbert #bertnlp #bertindeeplearning #bertmodel #bertmodelnlp

#️⃣ Social Media #️⃣

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

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Thank you for explaining BERT. The pace and progression was extremely well executed.

meenakshimishra

Great stuff! You have a real knack for breaking down complex topics into simple, intuitive concepts. Thank you!

EduljiBharucha

they way you teach it is just awesome. I tried to learn topics from multiple source but your way is out of the box. Thank you so much.

Manojrohtela

Very nice video! Shortly introduce the concepts, then jump into coding practice with detail explanation. I learned a lot during my following and experimenting the coding. Thanks. Can’t wait to explore more about the coming classes.

shih-shengchang

One of the best tutorials about BERT I've seen so far thanks :)

korkmazkagan

absolutely brilliant video, had gone through several videos where they either show a general documentation and then move to some coding, or simply go deep into theory without making any sense, but this video cleared all of my doubts on Bert. The last 3-4 minutes makes the most sense, depth needed to crack any interview.

ankurkaiser

I seldom watch programming videos with so enthusiasm.. that I don't realize it has come to an end ... good content.. keep it up.. and thanks..

azuriste

your effort and time for creating good videos are highly appreciated!

luiscao

Very well explained. You really posses the ability to simplify the topics. Thank you s9 much.

siddharthabhakta

Clear, practical, and essential insights. Thanks for the valuable information!

AashutoshGhimire

Can't be much easier or better than this. Thank you for such a greare video and awesome explanation.

Litdatascienceu

Superb explaining with code, all doubt has been cleared now. Thank you so much

sagarpadhiyar

This video was key for me to understand the functionality of bert, its inputs and outputs. Keep that stuff on! You're amazing!

timwetterau

Very simple and concise explanation!! Thanks so much :)

sowmyavivek

YES!! DL series is being continued!!!!
I can tell this is gonna be good.

cryptoinvestigator

Excellent Explanation Sir! Learned a lot. 👏Expecting more sir.

dineshjothiram

Thank you so much Sir ! Your videos are very informative in a understandable way :D

sshubam

Your teaching style and methodology is awesome. God bless you.

emmanuelakash

So helpful for quick understanding, thanks a lot!

tarunjnv

Thanks for this series on deep learning. Please consider having NLP deeplearnig series with PyTorch too.

SushantaKPani

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