Encoder-decoder architecture: Overview

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The encoder-decoder architecture is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. Watch this video to learn about the main components of the encoder-decoder architecture and how to train and serve these models.

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I came to the comments to see if I was the only one struggling with this explanation. This was a very difficult video to follow, anyone have a better way of summing this up?

DogBlessGeesus

Nothing understood. What is happening ? A simple transformer block itself contains Encoder and Decoder. Why there is explanation with RNN ? Last it says, RNNs are replaced by transformers. Makes me more confused !

abdulanzil

Anyone has link to an easier explanation? I could not decode this lesson.

debadri

You need to use encoder decoder to understand this course

gkay

I think there's definitely a simpler way to explain how this architecture works, this one is too hard to understand tbh

ThisIsAnInactiveChannel

Dam, sounds like chamber in valorant game

alaasalamah

"shifted to the left"...? 5:01

hlodwig_

enunciation and audio are so suppressed.

aashishrulz

I think this video omits too many details to the point where I don't see what was the point of recording this? The video doesn't even show how data is embedded into the encoder and how the vector is produced

NormalHuman

what am i meant to understand from this??

akheelkale

Far too complicated and difficult to understand.

Neil

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