Deep-Learning-Papers-Reading-Roadmap

Deep Learning Papers Reading Roadmap

1 Deep Learning History and Basics

1.0 Book

1.1 Survey

1.2 Deep Belief Network(DBN)(Milestone of Deep Learning Eve)

1.3 ImageNet Evolution（Deep Learning broke out from here）

1.4 Speech Recognition Evolution

2.1 Model

2.2 Optimization

2.3 Unsupervised Learning / Deep Generative Model

2.4 RNN / Sequence-to-Sequence Model

2.5 Neural Turing Machine

2.6 Deep Reinforcement Learning

2.7 Deep Transfer Learning / Lifelong Learning / especially for RL

2.8 One Shot Deep Learning

3 Applications

3.1 NLP(Natural Language Processing)

3.2 Object Detection

3.3 Visual Tracking

3.4 Image Caption

3.5 Machine Translation

3.6 Robotics

3.7 Art

3.8 Object Segmentation