This talk gives a brief introduction to machine learning. I try to use pictures and videos to clarify the most important ideas in this field. In case of any questions, please feel free to contact me at yanjun.han@ia.ac.cn.
Impressed Structure In Deep Learning
Multi-task Learning
Domain adaptation
Transfer learning
GAN
AnoGAN, Anomaly GAN
Reinforcement learning
Capsule, Spiking NN
Black-box In Deep Learning
LIME, Local interpretable model-agnostic explanations
LRP, Layer-wise relevance propagation
Advantage of Statistics In Deep Learning