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
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 |