The recent international AI safety Summit was hosted in UK, Nov 2023. There are governments from 28 countries, 42 industries and 50...

This is a summary of Chapter 16.2 in "Deep Learning" by Ian Goodfellow, Yoshua Bengio, Aaron Courvilley. In a graphical model, the edges...

The original paper can be found here. All figures are from this paper as well. In this paper, the authors introduced a new protein...

This is a summary of Chapter 16.2 in "Deep Learning" by Ian Goodfellow, Yoshua Bengio, Aaron Courvilley. Undirected models Undirected...

This is a summary of Chapter 16.1 and part of 16.2 in "Deep Learning" by Ian Goodfellow, Yoshua Bengio, Aaron Courvilley. What is a...

The Natural Language Processing (NLP) might have a long history which trace back to the start of Machine learning which is early 20th...

This is a summary of chapter 25.5 in "Artificial intelligence: A Modern Approach". It would be very difficult to build a robust language...

The detailed python notebook can be found here. Problem Setup Classify sample of protein sequence to a domain family_accession label....

Pfam is a protein domain family database. In the database, each sample is a segmentation of protein, domain. Based on the...

This post is a summary of chapter 25.4 in this book. The figures are from the book. Self-attention Self-attention is part...

The original paper can be found here. All figures and tables are from paper. What is UniRep? In this paper, the author applied deep...

The original paper can be found here. All figures and tables are directly from the paper. AlphaFold AlphaFold is a structure prediction...

The research paper can be found here. In this paper, the authors introduced a protein sequences segmentation methods called peptide-pair...

Original paper can be found here. Input features There are two main features about protein which were used for the classification. One is...

The original paper can be found here. All figures and tables are from paper. Introduction Sequence-based prediction and analysis are the...

What is sequence-to-sequence model One of the application of Natural Language Processing (NLP) is to generate one sentence based on...

Advantage of RNN over fixed window In a simple task like Part-of-Speech (POC) tagging, a fixed-size window such as n-gram would offer...

Feedforward part of speech tagging model using n-grams word embedding.