Encoder Decoder | Sequence-to-Sequence Architecture | Deep Learning | CampusX

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In this video, we unravel the complexities of the Encoder-Decoder architecture, focusing on its application in sequence-to-sequence tasks. Whether you're a student, developer, or tech enthusiast, join us on this learning journey as we break down the fundamentals of this powerful model.
🔗 Research Paper: arxiv.org/pdf/1409.3215.pdf
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Share your thoughts, experiences, or questions in the comments below. I love hearing from you!
Thank you for joining us on this exploration of the Encoder-Decoder architecture. Stay curious, and let's decode the future together! 🚀🤖
⌚Time Stamps⌚
00:00 - Intro
01:22 - SEQ2SEQ Data
08:04 - Things to Know Before You Start
10:05 - High Level Overview
13:43 - What's under the hood?
19:25 - Training the Architecture using Backpropagation
48:44 - Prediction
55:35 - Improvement 1 - Embeddings
1:00:30 - Improvement 2 - Deep LSTMs
1:10:45 - Original Research Paper
1:10:58 - The Sutskever Architecture
✨ Hashtags✨
#EncoderDecoder #SequenceToSequence #DeepLearning #MachineLearning #CampusX #TechExplained #AI #NeuralNetworks #LSTM #AlgorithmExplained

Опубликовано:

10 июл 2024

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Комментарии : 107

@rabingiri6853 7 месяцев назад

You create videos that are worth a thousand others, and I understand that it takes time. Your content is so polished, so please don't rush to complete this series.

@Shuraim843 7 месяцев назад

True 👍👍👍

@ashishagarwal-nj8ud Месяц назад

Loved it man. I studied with Stanford ML professional but this video worth no money. If you are Hindi speaking individual then you even don’t need to encode and grab the concept direct. ❤

@bhushanbowlekar4539 7 месяцев назад

"This is the only RU-vid channel where I click the like button first and then watch the video because, I know video to bawaal honevala hi hai" 😄

@virajkaralay8844 5 месяцев назад

I doubt if there's any video on youtube providing as much value as you do in each video of yours. Thank you and you have my respect Nitish Sir!

@gouravgulia6748 4 месяца назад

Bruh, this is something else, first time someone is teaching by taking reference from a research paper. Keep giving us the content, this is just worth millions dollar content not just thousands. Good Work, Bro. Mad Love to you

@HarshSingh-zp7jb 7 месяцев назад

Finally, thanks a lot sir for uploading Encoder-decoder architecture, I was really finding a source to learn, then your video came and I bet its better than all the courses out there. YOUR WAY OF TEACHING IS JUST AMAZING ❤

@kashifhabib290 7 месяцев назад

Sir I really want to thank you from the bottom of my heart, I got my first Job Few days they as Machine Learning Engineer, Thank you sir I have been following your channel from last 6 months and that changed my life and career as well. ❤🙏.

@bananamaker4877 7 месяцев назад

Thank you for sharing knowledge. You deserve the best teacher award.

@riyatiwari4767 7 месяцев назад

Thank you so very much for posting the lecture. I am eagerly waiting everyday for NLP videos. I check the playlist almost everyday. Please give the playlist more time and complete the content.. U are one fine Data Science Tutor I have come across on youtube. 🎉

@NoumanKhan-ug7ks 7 месяцев назад

Thanks alot Sir, Ive learned more from your channel than so called best selling courses .Love From Pakistan

@user-wv7iy2di2o 7 месяцев назад

you have made me really feel what machine learning and deep learning is ..

@MaheshKumar-km8ek 7 месяцев назад

I wil like the video first and then watch the video. 😀 Coz i know the playlist is wonderful and one of the best 🙂

@ariousvinx 7 месяцев назад

Your videos are best ❤. You don't leave a single doubt. I have been waiting for your next video

@abdulqadar9580 5 месяцев назад

lot of Love and Respect from Pakistan❤❤❤

@abrarahmed4860 7 месяцев назад

Bru you've explained these topics better than some renowned ai researchers like Andrew Ng etc. I would recommend to please do a video on attention mechanism and transformers.

@user-jx2en8mo2b 5 месяцев назад

THank you for such crystal clear explanation videos. 🙏🙏🙏🙏🙏🙏

@krupal_patel 6 месяцев назад

The best teacher.. great person.. thank you guruji

@197shaukat3 7 месяцев назад

Exitment for this playlist is increasing day by day. I Eagerly waits for each videos..❤..thanx sr...

@Shuraim843 7 месяцев назад

The Nitish sir should make the next video on the attention mechanism. What do you think?

@nawarajbhujel8266 5 месяцев назад

Thank you for such wonderful and in-depth explanation.

@vinayakbhat9530 7 месяцев назад

Thank you so much for your efforts to make this video❤, I really like the way you explain the concept.

@HarshSingh-zp7jb 5 месяцев назад

Sir, just viewed the whole video!, it was amazing, you taught it in such an easy way and amazing way, that when I started to read the paper, it seems soo easy to read and literally was so damn understandable. Thanks a lot sir and appreciate your help! 🙏 ♥

@somdubey5436 5 месяцев назад

Awesome. You put such great efforts in your videos, it really reflects there.

@aadityaadyotshrivastava2030 4 месяца назад

very nice explanation, I have being following you since couple of months. Salute to your content Nitish Bhai....

@koushik7604 7 месяцев назад

Thank you so much for creating this kind of contents

@Agrima_Art_World 6 месяцев назад

Best Explanation Ever. Eagerly waiting for Transformer Architecture Video.Keep it up @Nitesh bro

@AsdAsd-zn4sc 7 месяцев назад

Awesome content sir 🔥🔥 waiting for next video

@shitizgoel5027 2 месяца назад

Very Nice Video Sir. Thanks for it.

@jayanthkothapalli9.2 3 месяца назад

Great video sir, I felt very easy to understand since I have listened to all the previous videos in this playlist. Thank you so much!, To learn data science in the right way one should come to CAMPUSX.

@ashishmalhotra2230 4 месяца назад

this video is amazing -> यह वीडियो अद्भुत है

@kalyanikadu8996 6 месяцев назад

Hello Nitish.. been following your channel since last year and cant thank you enough for the content you are providing! I have a small request though ,please upload videoes on transformers and Bert and LLMs and Gen AI as it is very very crucial for the interviews... Tried other youtube videoes also but they are not a bit of your level. Thanks in advance.

@mayankbhatt1308 3 месяца назад

Gold explanation by a Gold mentor

@LearningWithAnosha Месяц назад

Thank you so much very helpful

@jashneetkaur3176 Месяц назад

Amazing explanation !!!👍👍

@kartikchoudhari4315 5 месяцев назад

Yes we required that video

@Shuraim843 7 месяцев назад

Sir Nitish you are the best sir . Math and Algorithm etc as you explain very well. We were waiting for you when you will make a video on Encoder and Decoder Architecture. Thank you very much ❤❤❤. I follow your deep learning playlist, you give great information. Sir, I request you to make a video on attention mechanism after this

@utkarshtripathi9118 4 месяца назад

Sir, please try to make videos on "how to fine Tune OpenSource LLM for building Chatbots." I will share that video alot to my friends beacuse we are working in chatbot domains. please please

@sachinpatodia4593 3 месяца назад

Bhai you are doing God's work

@majidhabibkhan625 3 месяца назад

great effort sir

@ParthivShah 2 месяца назад

Thank You Sir.

@pratyakshagarwal-iw1es 7 месяцев назад

sir you are just amazing . ❤❤❤

@basobpaulbrinta3198 6 месяцев назад

Could you make a video on autoencoders? Your clear explanations would make it easy for us to understand this intriguing topic.❤

@TemporaryForstudy 7 месяцев назад

What a video, sir.amaziiiiing

@user-wv7iy2di2o 7 месяцев назад

really thanks for this video ..

@bibhutibaibhavbora8770 7 месяцев назад

Great explanation❤️

@mdriad4521 7 месяцев назад

Thanks a ton,,,and i don't think we need to read this paper after watching this video😀😃

@marvelous9300 6 месяцев назад

Sir, Could you please prioritize creating daily videos, especially covering topics like BERT, Transformer, and LLM? The urgency of ongoing placement activities, Your expertise is invaluable, and we believe concise, regular video updates would be both attractive and beneficial. Thank you for your prompt attention to this matter.

@glide_dynamic6380 2 месяца назад

Marvelous sir

@slowedxreverb6274 4 месяца назад

It was fabulous. can you create a video for implementation?

@arri5812 6 месяцев назад

Thanks sir

@user-vy5sg2lp1w 7 месяцев назад

bht ziyada w88 krna ka bad at the end thanks

@anozatix1022 4 месяца назад

40:20 prediction mai nahi aaya to kya hoga? Then next time step mai lstm ko kya input denge?

@Shuraim843 6 месяцев назад

Sir please video on Attention mechanism , transformers and most important transfer learning NLP (language modelling) ULMFiT research paper Pre training Fine tunning .

@bhupendersharma-l0487 7 месяцев назад

Great Video Sir can you speed up frequency of uploading Deep learning Videos

@Amanullah-wy3ur 16 дней назад

this is helpful 🖤🤗

@johaangeorge7089 5 месяцев назад

Sir, I have a doubt, During the training, what if the decoder outputs an output sequence longer than the true output sequence. How is the loss calculated in such cases. will categorical cross entropy work in such cases.

@muhammadikhalas7213 6 месяцев назад

Thank you sir! We love you from the bottom of our hearts ❤ from Pakistan. This video was just amazing and the concept was pretty clearly explained. Now we are requesting you to make a video on transformers.

@Shuraim843 6 месяцев назад

I am also from Pakistan ❤😍❤

@sukhpreetsingh2818 7 месяцев назад

Really amazing sir please make a paid course for data science where you can teach us everyday from scratch

@Tiger-Tippu 6 месяцев назад

We don’t use OHE so please take word2vec embedding as example always

@akshayshelke5779 7 месяцев назад

waiting for next video

@kashifsadiq4145 7 месяцев назад

Thankxs alot

@Shuraim843 6 месяцев назад

sir aap ne video k start mai kaha encoder decoder us tarah se use nahi hota jis tarah se pehle use hota tha lekin transformer mai tu encodrer decoder use hota hai

@ali75988 7 месяцев назад

badshaho, thank you!!!!

@muzaffarshah2019 5 месяцев назад

Do we have any coding example notebook of the same

@sangram7153 4 месяца назад

He provides better explanation than Andrew NG 🥳

@Shuraim843 7 месяцев назад

Thank you sir ❤❤❤

@avinashbhardwaz5717 2 месяца назад

Liked ,Liked and liked!!!!

@malikfahadsarwar2281 2 месяца назад

Does we remove the start token from the ground truth before computing the loss with the predicted caption? can anyone help thanks

@shyamalaspure3316 5 месяцев назад

Can you explain beam search in encoder-decoder architecture

@khushikoshta954 4 месяца назад

Waiting for the sequel video !

@the_pirate 7 месяцев назад

At last! Thanks a lot

@harinair3002 7 месяцев назад

Thank you sir , please complete the nlp playlist asap 🙏✨

@aiforeveryone 7 месяцев назад

Great

@ubaidurrehman5566 7 месяцев назад

Wow ❤❤

@sachinkumavat3704 7 месяцев назад

Dsmp 2.0 any option for course(emi)or monthly paid please reply

@sagarbhagwani7193 7 месяцев назад

Thankusomuch sir❤

@pranavreddy9218 15 дней назад

is there any link for seq2seq coding?

@sharadmishra5596 7 месяцев назад

India's Andrew Ng-The Teacher

@not_amanullah 7 месяцев назад

I think better than him

@tarunkumardas8347 7 месяцев назад

Dear sir, requesting if you could add few videos related to 1 stage and 2 stage object detections.

@dhyanasoni7958 3 месяца назад

Sir, please provide an implementation of Machine Translation

@KumR 7 месяцев назад

Great but can u create a working model using python to show this exact process?

@shutupyar1403 6 месяцев назад

stay blessed !!!

@parthivpatel3139 3 месяца назад

SIR CAN YOU MAKE SOME VIDEOS FOR VAE(VARIATIONAL AUTO ENCODERS)

@poornanagasai262 3 месяца назад

I have a doubt @Nitish sir. after producing the context vector what if it's size is not same as token of decoder at time step 1. I remember that LSTM should have its input length and both hidden and cell state lengths as same. the example you used (think about it). it's context vector will be of 5 dimensions but token will be of 7 dimensional vector. Doesn't it make any issue with LSTM working inside decoder. please help me out with his question. thanks in advance.