Pytorch for Beginners #41 | Transformer Model: Implement Encoder скачать в хорошем качестве

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