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AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

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mapleai's Introduction

MapleAI

人工智能（Artificial Intelligence）相关的学习资料。主要相关内容包括深度学习，机器学习，强化学习，计算机视觉与自然语言处理。

Applications and study materials for artificial intelligence. Contents mainly include deep learning, machine learning,reinforcement learning, computer vision, natural language processing.

个人整理资源/Resources

EBook/电子书

Moocs/网课

网络博文/Online Materials

深度学习/Deep Learning

seq2seq

topic	material	difficulty
从seq2seq、attention到transformer	从seq2seq、attention到transformer	容易

卷积神经网络/Convolutional Neural Network

topic	material	difficulty
Basic concepts	Stanford cs231n Convolutional Neural Networks (CNNs / ConvNets)	Medium
Utilize CNN in a simple way using Keras	Building a Convolutional Neural Network (CNN) in Keras	easy

对抗神经网络/Generative Adversarial Network

topic	material	Illustration
vanilla GAN's principles and implementation	GANs from Scratch 1: A deep introduction. With code in PyTorch and TensorFlow	Good for green hand

自然语言处理/Natural Language Processing

预训练/Pre-training

topic	material	difficulty
Word Embedding/BERT	从Word Embedding到Bert模型—自然语言处理中的预训练技术发展史	Easy

强化学习/Reinforcement Learning

topic	material	illustration
Hand by hand tutorial on implementing RL algorithms	Series: Simple Reinforcement Learning with Tensorflow（个人的中文翻译版本)
OpenAI's open-source projects on teaching principles and implementations of state-of-the-art RL models	OpenAI-Spinning up