Transformers in NLP | GeeksforGeeks

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Transformers are a type of deep neural network architecture that has become popular in natural language processing (NLP). One of the most well-known transformer-based models is the BERT (Bidirectional Encoder Representations from Transformers) model.

The main advantage of transformers is their ability to model long-range dependencies in sequential data, such as text.

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Thank you so much for the RNN video in the geeks for geeks web site a great help

zakytff

What's the output of encoder and how that output passed to decoder then what we will get?. . . Finally acquired knowledge thankyou

karunakarkavuri

Thanks for explain. What app are you using to hand write your text? And is your table mirrored to your pc? What software are you using?

dapoint

Thanks a lot ma'am for crystal clear

Warrior

Love coding part, thanks a lot - do you have more coding tutorials for transformer model?

bilalviewing

the download should be proviede in 480 pixel size but it not very selfish

Rohitpampatwar

I was expecting you to go in depth of transformer architecture. Disappointed.

random-user-

I think your concept is not clear ...aap uper uper se bol rhe ...bich me skip krre kuch cheej

AmmarAnjum-hs

Kuch samjh nhi aaya. Bekar teaching skills

abhaynagar

At last 5.14 she used word hindhi sentence....may kaisa ku is more complicated than understanding transformer....

shakthi

Please improve your teaching skills, you are struggling to explain what's on your mind. Or you could write clearly on a paper & read it out. This is constructive criticism. Please take it as a meaningful feedback.

apoorva

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