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

[@codebasics]

Folks, here's a link to our bootcamp for learning AI and Data Science in the most practical way: tinyurl.com/395u4mnm

[@codebasics]

Part 2: Text classification using BERT: kzbin.info/www/bejne/emrcqqdsd8uad68

[@MurariMahaseth]

why private? if any error in the video then you can mark them in comments or edit even after published.

[@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.

[@azuriste]

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..

[@meenakshimishra6111]

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

[@Sumonms]

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

[@Ch-br5cv]

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

[@satishb9975]

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

[@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.

[@emmanuelakash8868]

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

[@codebasics]

😊🙏🙏

[@ahmedelnahas2277]

You still my favorite instructor

[@yesimkocoglu2402]

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

[@EduljiBharucha]

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

[@kmnm9463]

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

[@wzyjoseph7317]

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

[@korkmazkagan]

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

[@anisiobinzubechi]

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

[@neto212]

Congrats from Brazil! :)

[@mr.ashwinperti2150]

Really learning what is BERT. Great going

[@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 😊😊

[@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) .

[@pankajaphalari1462]

You are my guru. Please keep guiding us.

[@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?

[@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

[@yohanesalbertlauwoto535]

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

[@vjnvisakh]

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

[@AashutoshGhimire]

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

[@luiscao7241]

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

[@lpac8272]

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

[@codebasics]

Glad it helped!

[@cryptoinvestigator5650]

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

[@lavasaigo]

Very Good explanation sir. I liked your way of teaching. Thanks a lot!!

[@poojapatila5233]

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

[@codebasics]

yup that article is awesome.

[@Breaking_Bold]

Very nicely explained !!!

[@Litdatascience4u]

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

[@yohannesbairu8299]

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

[@codebasics]

Glad to hear that!

[@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.

[@EpicEatsZone]

Sir you made this look so easy

[@pseudounknow5559]

Yesss Deep Learning is back

[@codebasics]

🔥🔥🔥😊🥳

[@mudsky]

i owe you for this. so well explained.

[@nitinvasava1421]

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

[@palakbhatia2243]

Well explained 👍

[@mahalerahulm]

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

[@BruceWayne1996-1]

great explanation.

[@codebasics]

I'm glad you liked it.

[@BruceWayne1996-1]

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

[@sarmee7510]

Brilliant, made me understand the concepts at a go.

[@tejasshinde7236]

Its still relevant 👍🏻👍🏻

[@vanshsamaiya431]

thanks sir for this great series

[@ahmetdikbayir6518]

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

[@ManishSharma-gp5ev]

Really so helpful. Thanks a lot Sir. 👍

[@dholakiyaparth]

Great Work. Thank you. Kudos to you man.

[@diwu1877]

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

[@ChrisHalden007]

Great video. Thanks

[@saeid8113]

Such a nice concise work. Thanks

[@bdoriandasilva]

Great video! thank you!

[@jatayubaxi4553]

Excellent video.

[@tarunjnv1995]

So helpful for quick understanding, thanks a lot!

[@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

[@quranmalayalam4dailylife]

super happy to give you a massive 👍🏻

[@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

[@pratikshirbhate8026]

Very well explained. Thanks

[@rajm5349]

Thank u sir for explaining in sch a simple language

[@codebasics]

Glad you liked it

[@md.rifatanwar3536]

Really helpful brother!!!!

[@debabratasikder9448]

Thumbs up and subscribed. Thank you very much!

[@badiyabhargav8597]

Great Video sir Thank u so much❤️

[@Yann-v3j]

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

[@moni1122331]

great explanation, easy and fantastic.

[@expoundingaboutmicrosoftaz8612]

👍Awesome explanation

[@mohammedelsadiqbarmati8730]

THaaanks alot, it was a very helpful tutorial.

[@codebasics]

Glad it helped!

[@joy2000cyber]

Exactly what I need!

[@MrBapujinakka]

great effort

[@AnuragKhareOracle]

really great content. It was really helpful.

[@codebasics]

Glad you think so!

[@RHONSON100]

Great job. Nice and clear explanation.

[@haithemkassem1306]

great work

[@sagarpadhiyar1943]

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

[@pnaryozgatlozbilen445]

perfect tutorial

[@siddharthabhakta3261]

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

[@dineshjothiram3677]

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

[@izelcavusoglu3539]

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

[@codebasics]

Glad it helped!

[@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

[@sigangsabaglari3606]

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

[@sowmyavivek4952]

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

[@addictivepuzzler]

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

[@sshubam]

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

[@raselkarim2731]

Really inspiring.

[@oftherecord5582]

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

[@harshalbhoir8986]

Now you are getting funny Thank you so much!!

[@arumoysaha4449]

nicely explained, thank you!

[@codebasics]

Glad it was helpful!

[@hssp1534]

You made it look so easy! awesome. So basically i can just use the pre process URL and encoder url, generate the word embeddings and feed it as input to neural network??????

[@codebasics]

Yup

[@hssp1534]

@@codebasics well you just earned another subscriber😃👍

[@yl95]

Dank je wel!

[@af121x]

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

[@codebasics]

Glad you like them!

[@pragatiagrawal7212]

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

[@trendyjewellery1987]

Superb

[@freedmoresidume]

This is awesome sir. I can't thank you enough

[@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

[@tongluo9860]

love your video

[@balkiprasanna1984]

Awesome 🎉

[@kusicmusic]

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

[@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?

[@nesarulhoqueshisir7747]

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

[@aproperhooligan5950]

Great stuff, Sir.

[@akbarmajidi3934]

amazing!