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

[@codebasics]

Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced

[@riselikeaphoenix451]

Hi.. Could you please upload a video for RoBERTa?

[@pateelhs7105]

😊😊😊😊😊😊😊😊​@@riselikeaphoenix451

[@ankurkaiser]

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.

[@Sumonms]

Need a kind of teacher like you in Engineering university, Most of them can't trach properly. They judge by only exam.

[@azuriste8856]

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..

[@Ch-br5cv]

Lo pondré en mi dedicatoria de tesis cuando lo termine, gracias por el video

[@vjnvisakh]

pretty useful. Takes away the magic of what is happening behind the scenes.

[@emmanuelakash8868]

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

[@codebasics]

😊🙏🙏

[@Manojrohtela]

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.

[@yesimkocoglu2402]

Very nice video. You explain clearly and I have found solutions to questions in my mind

[@meenakshimishra6111]

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

[@satishb9975]

Sir, Thanks a lot, for this wonderful explanation on the BERT MODEL, no words to explain, your explanation is just awesome, 🙏

[@ahmedelnahas2277]

You still my favorite instructor

[@idk____idk6530]

To the world, you may be just a teacher but to me, you are a hero! Wishing you a Happy Guru Purnima! I bow to the one who has inspired me and taught the right way of life! You are the inspiration who made me overcome every hurdle in python ❤️

[@codebasics]

😊😊 happy guru purnima 😊😊

[@manikant1990]

Great video super explanation this is useful for classifying sentences, what if I have conversations to classify, Where is conversation has multiple sentences, so how to classify a conversation into a particular class where a conversation has multiple sentences inside. The documentation of tenser flow explains how to classify sentences But not how to classify conversations in to a particular class

[@AashutoshGhimire]

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

[@yohanesalbertlauwoto535]

Thankyou for your Explaination 😀😀😀😀, it's easier to understand from your video

[@pankajaphalari1462]

You are my guru. Please keep guiding us.

[@yohannesbairu8299]

I really, really learn many new techniques from your video continue appreciate

[@codebasics]

Glad to hear that!

[@lpac8272]

Great video, filled many gaps I had in how BERT is used. Thank you!

[@codebasics]

Glad it helped!

[@ahmetdikbayir6518]

Thank you so much. It is really great to help to newbies in NLP.

[@kmnm9463]

Hi Dhaval, This is the best Bert based text classification tutorials . Thanks from Krish

[@EduljiBharucha]

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

[@sarmee7510]

Brilliant, made me understand the concepts at a go.

[@luiscao7241]

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

[@wzyjoseph7317]

super consice explanation, ultra satafying while watching it, keep going!

[@tarunjnv1995]

So helpful for quick understanding, thanks a lot!

[@rajm5349]

Thank u sir for explaining in sch a simple language

[@codebasics]

Glad you liked it

[@EpicEatsZone]

Sir you made this look so easy

[@stylersimon1]

Everybody asking "What is Bert" but noone asking "How is Bert"

[@jagadeeshkumar7724]

Where is BERT

[@yakkalurusathvik2169]

Why is BERT

[@Ram_jagat]

who is bert

[@Mr.AIFella]

To whom is Bert concern?

[@z-series7444]

Is it Bert?

[@maheshreddy6871]

You are teaching in Nice manner. Can we have NER task Architecture explanation for Bert & How it is Working and some code for implementation of NER

[@mr.ashwinperti2150]

Really learning what is BERT. Great going

[@cryptoinvestigator5650]

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

[@LordPBA]

14:45 to my experiments, the number of 1 - CLS is not equal to the number of words.... it seems related to the length of the words and the sentence, am I wrong? Thanks

[@shih-shengchang19]

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.

[@Litdatascience4u]

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

[@anisiobinzubechi]

print("Very explicit, thanks for all you do for the AI/ML learning nation")

[@korkmazkagan]

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

[@sagarpadhiyar1943]

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

[@Breaking_Bold]

Very nicely explained !!!

[@poojapatila5233]

Excellent explanation about BERT. The article which you suggested is awesome. Thank you soo much sir :)

[@codebasics]

yup that article is awesome.

[@neto212]

Congrats from Brazil! :)

[@ManishSharma-gp5ev]

Really so helpful. Thanks a lot Sir. 👍

[@nitinvasava1421]

Informative and easy to learn ..... Keep adding videos

[@mahalerahulm]

Hi Dhaval You are master !! Thank you very much for your teaching !!

[@mudsky]

i owe you for this. so well explained.

[@vanshsamaiya431]

thanks sir for this great series

[@diwu1877]

I thought watching ads are the "fee" of watching this video, instead thumbs up :)

[@saeid8113]

Such a nice concise work. Thanks

[@dholakiyaparth]

Great Work. Thank you. Kudos to you man.

[@pratikshirbhate8026]

Very well explained. Thanks

[@timwetterau6168]

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

[@codebasics]

Glad it was helpful!

[@tylerpoore1487]

@@codebasics Love your stuff. Just an FYI @9:21 under the How was it trained slide, you have a typo (mased language model instead of masked language model) .

[@palakbhatia2243]

Well explained 👍

[@pragatiagrawal7212]

Getting error while importing tensorflow _text as text .It says no matching distribution found for tensorflow_text

[@ChrisHalden007]

Great video. Thanks

[@moni1122331]

great explanation, easy and fantastic.

[@pseudounknow5559]

Yesss Deep Learning is back

[@codebasics]

🔥🔥🔥😊🥳

[@Don69Muk]

How to analyze semantic opacity of multi word expression? Is that true using BERT model? Or we should be use CBOW and Skip-gram?

[@izelcavusoglu3539]

Thank you a lot, it simplified everything to me so well.

[@codebasics]

Glad it helped!

[@aditya.g6418]

code basics: I'm going to explain in simple language as if you were a high school student me( a high school student) : I see this as a absolute win

[@bdoriandasilva]

Great video! thank you!

[@sigangsabaglari3606]

Thank you so much, loved it. Very well explained.

[@siddharthabhakta3261]

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

[@badiyabhargav8597]

Great Video sir Thank u so much❤️

[@bruceWayne19993]

great explanation.

[@codebasics]

I'm glad you liked it.

[@bruceWayne19993]

@@codebasicscan you pls tell me which model is good to do machine translation task?

[@tejasshinde7236]

Its still relevant 👍🏻👍🏻

[@jatayubaxi4553]

Excellent video.

[@spider853]

Hey, very imformative video! Could you please make a video on how to use the BERT model for text question and answering locally? Thanks

[@mohammedelsadiqbarmati8730]

THaaanks alot, it was a very helpful tutorial.

[@codebasics]

Glad it helped!

[@nesarulhoqueshisir7747]

The BERT gives different results on every run in text classification. How can the problem be solved?

[@debabratasikder9448]

Thumbs up and subscribed. Thank you very much!

[@RHONSON100]

Great job. Nice and clear explanation.

[@oftherecord5582]

I really appreciate your efforts. Kindly tell me BERT is supervised or Unsupervised machine learning method.

[@md.rifatanwar3536]

Really helpful brother!!!!

[@MrBapujinakka]

great effort

[@pnaryozgatlozbilen445]

perfect tutorial

[@habtishmultimedia]

Ow Thank you. This is interesting tutorial. But can we use BERT directly for our local non-English language. If it is so, how can we use it? If it is not possible, how can we develop an algorithm like BERT for our local language too? I asked this question because most of the tutorials here in KZbin is given by English examples and models and those models cannot be applied to other local languages. For example, we cannot use Spacy POS Tagger for our local language. That is the big problem for us to develop NLP applications or model using those pretrained models. So, if it possible I like you to give us a methods for using models like BERT for our local languages too. I am very interested if it is so.

[@ranjitkapurkar4544]

bert_model = hub.keras_layer(encoder_url) showing error for this as 'module' object is not callable

[@TopoGamer]

i have a problem 'ERROR: Could not install packages due to an OSError: [WinError 5] Acceso denegado:'... Does anyone know what can I do?

[@quranmalayalam4dailylife]

super happy to give you a massive 👍🏻

[@primakovch8332]

If bert have fixed size padding for each sentence, does it lead to wastage of memory every time it runs??

[@haithemkassem1306]

great work

[@kusicmusic]

You are awesome - have you covered Transformer architecture in any of your videos. Looking forward.

[@Yann-v3j]

nice vidéo man ! thanks alot! the article from alamar too ! love from canada

[@af121x]

Thank you so much. I love the way you explain the codes.

[@codebasics]

Glad you like them!

[@AnuragKhareOracle]

really great content. It was really helpful.

[@codebasics]

Glad you think so!

[@sachin143ful]

Please make video on NER using BERT with re-training again with own data.

[@joy2000cyber]

Exactly what I need!

[@pushkarkumar8698]

some more examples with real-time problem must be added in programming. rest all pre-knowledge good. keep it up

[@405dinesh]

Amazing explanation. Can you plz build a model using BERT fine tuning

[@sshubam]

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

[@rutu.dances.to.express]

What is padding in word embeddings? Does it mean that the first sentence has just 3 words in it so remaining 125 arrays for it will be padded with 0? for 2nd sentence example in the video, there are 4 sentences. So for this 128-4=124 arrays would be padded with 0? Is this interpretation of padding in word embedings correct?

[@yl95]

Dank je wel!

[@expoundingaboutmicrosoftaz8612]

👍Awesome explanation

[@harshalbhoir8986]

Now you are getting funny Thank you so much!!

[@sowmyavivek4952]

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

[@raselkarim2731]

Really inspiring.

[@addictivepuzzler]

You are the best... Thanks a ton for such a nice tutorial :)

[@arumoysaha4449]

nicely explained, thank you!

[@codebasics]

Glad it was helpful!

[@omkaryadav7445]

Please continue your dsa in python playlist 🙏 it's a request 🙏

[@SushantaKPani]

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