課程大綱：1. Introduction Deep Learning IC Design: Design Flow, Combinational and Sequential Circuit Design, DNN Training and Inference
2. Algorithm and Hardware for efficiency DNN Inference and: Pruning, Weight sharing, Quantization, Low Rank Approximation, Binary/Ternary Net, etc.
3. DNN Memory Architecture and Optimization: Roofline Model, Access Optimization
1. Case Study for CNN, LSTM, Google’s Tensor Processing Unit.
Hands-on experience and Lab with CNN