21,074 views since Nov 26, 2023

Let's do a deep dive into the Transformer Neural Network Architecture for language translation.

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TIMESTAMPS
0:00 Introduction
1:38 Transformer at a high level
4:15 Why Batch Data? Why Fixed Length Sequence?
6:13 Embeddings
7:00 Positional Encodings
7:58 Query, Key and Value vectors
9:19 Masked Multi Head Self Attention
14:46 Residual Connections
15:50 Layer Normalization
17:57 Decoder
20:12 Masked Multi Head Cross Attention
22:47
24:03 Tokenization & Generating the next translated word
26:00 Transformer Inference Example