Transformer Encoder vs LSTM Comparison for Simple Sequence (Protein) Classification Problem скачать в хорошем качестве

Transformer Encoder vs LSTM Comparison for Simple Sequence (Protein) Classification Problem

The purpose of this video is to highlight results comparing a single Transformer Encoder layer to a single LSTM layer for a very simple problem. Several texts on Natural Language Processing describe the power of LSTM as well as the advanced sequence processing capabilities of Self Attention and the Transformer. This video offers very simple results in support of these notions in the field of Natural Language Processing. Previous Video:    • A Very Simple Transformer Encoder for Prot...   Code: https://github.com/BrandenKeck/pytorc... Interesting Post: https://ai.stackexchange.com/question... Music Credits: Breakfast in Paris by Alex-Productions | https://onsound.eu/ Music promoted by https://www.free-stock-music.com Creative Commons / Attribution 3.0 Unported License (CC BY 3.0) https://creativecommons.org/licenses/... Small Town Girl by | e s c p | https://www.escp.space https://escp-music.bandcamp.com