Transformer Model for Language Understanding Part 01 - DLMC47

Name: Transformer Model for Language Understanding Part 01 - DLMC47
Start: 2021-03-30T21:00:00+05:00
End: 2021-03-30T22:00:00+05:00

Sir Syed University Of Engineering And Technology

The core idea behind the Transformer model is self-attention—the ability to attend to different positions of the input sequence to compute a representation of that sequence. Transformer creates stacks of self-attention layers and is explained below in the sections Scaled dot product attention and Multi-head attention.

Mar 30, 2021, 4:00 – 5:00 PM

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Key Themes

Machine Learning

About this event

The core idea behind the Transformer model is self-attention—the ability to attend to different positions of the input sequence to compute a representation of that sequence. Transformer creates stacks of self-attention layers and is explained below in the sections Scaled dot product attention and Multi-head attention. 