一些关于机器学习（神经网络）和NLP的资料的总结和整理。都是个人很喜欢的深入浅出的指导。（持续更新中...）

Open Courses

1. CS224n: Natural Language Processing with Deep Learning Winter 2020
2. UC Berkeley CS188 Intro to AI
3. MITOpenCoursesWare

Machine Learning

1. UFLDL Tutorial-Welcome to the Deep Learning Tutorial!
2. c231n-understanding of backpropagation

Nerual Network and Propagation

1. Understanding Backpropagation Algorithm
2. How Does Back-Propagation in Artificial Neural Networks Work?

Word2Vec

1. An implementation guide to Word2Vec using NumPy and Google Sheets
2. part1: Word2Vec Tutorial - The Skip-Gram Model
   part2: Word2Vec Tutorial Part 2 - Negative Sampling
3. The backpropagation algorithm for Word2Vec