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Table of contents

1. Lena Voita’s Post
2. ruder.io
   1. The State of Transfer Learning in NLP
3. Tokenizers: How machines read
4. Summary of the tokenizers
5. Lil’Log Posts
6. Colah’s Blog
7. Neptune.ai
8. Jay Alammar blog
9. The Annotated Transformer

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Lena Voita’s Post

The author is a PHD student.

Good description about ML and NLP

ruder.io

A blog about natural language processing and machine learning.

The State of Transfer Learning in NLP

Tokenizers: How machines read

Good tutorial about the NLP tokenizers. And it seems like a good resource about ML

Summary of the tokenizers

Describe some kinds of tokenizer methods, that we can decide which one is suitable for us to use.

Lil’Log Posts

Work in OpenAI, and create posts to describe the trend of the AI and good description about some machine learning models.

Colah’s Blog

Describe the concepts about machine learning models like Recurrent Neural Networks and so on.

Neptune.ai

Good tutorials and summarization about machine learning. You can also use it as an open entry to other good resources. This is the place that I found other good resources.

Jay Alammar blog

Good description for some machine learning concepts

The Annotated Transformer

This is created by Harvard to illustrate how the transformer is created from scratch by pytorch framework.