Deep Learning, PKU summer school, 2018
- Day 1: Introduction & Mathematics (Intro, probability, project)
- Day 2: Machine Learning Basics (ML-01, ML-02)
- Day 3: Feedforward Neural Networks & Optimization Tricks (FNN, regularization)
- Day 4: Convolutional Neural Networks & Recurrent Neural Networks(CNN, RNN)
- Day 5: Deep Learning for Natural Language Understanding(DL4NLP)
- Day 6: Graph Representation Learning & Recommendation
- Day 7: Poster Session