Pytorch for Beginners #41 | Transformer Model: Implement Encoder
Transformer Model: Implement Encoder
In this tutorial, we’ll implement the Transformer Encoder. We’ll first discuss the internal components of Transformer Encoder and then implement them. Also, we’ll discuss the difference between Post-Layer-Normalization and Pre-Layer-Normalization, and try to understand which one works better and why. At the end, we’ll test our implementation with dummy inputs.
The code used in this tutorial is available here-
Multiheaded Attention: https://github.com/makeesyai/makeesy-...
Encoder Module: https://github.com/makeesyai/makeesy-...
The papers mentioned in this tutorial -
Attention Is All You Need: https://arxiv.org/pdf/1706.03762.pdf
On Layer Normalization in the Transformer Architecture: https://arxiv.org/pdf/2002.04745.pdf
#pytorch #tutorial #transformer #encoder
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