The Transformer neural network is a powerful deep learning model that was introduced in a landmark paper titled “attention is all you need” by Vaswani et al. in 2017. It revolutionized the field of natural language processing (NLP) and has since found applications in various other domains.
Handwritten Materials : https://github.com/krishnaik06/Transformers-Materials
Timestamp
00:00:00 Introduction
00:04:07 What And Why Transformers
00:22:21 Basic Architecture Of Transformers
00:36:29 Self Attention Architecture
01:38:32 Multi Head Attention
01:48:46 Feed Forward With Multi Head Attention
01:57:24 Possition Encoding
02:27:27 Layer Normalization In Transformers
03:01:03 Complete Encoder Architecture
03:23:09 Layer Normalization Example
03:30:56 Decoder Plan Of Action
03:39:23 Decoder MAsked Attention head
04:32:36 Encoder And decoder Multi Head Attention
04:47:00 Linear And Softmax Layer
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