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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Playing Wechat Jump Game with End-to-End Convolutional Neural Networks
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