Iterative Deep Neural Network Quantization With Lipschitz Constraint

Network quantization offers an effective solution to deep neural network compression for practical usage. Existing network quantization methods cannot theoretically guarantee the convergence. This paper proposes a novel iterative framework for network quantization with arbitrary bit-widths. We prese...

Ausführliche Beschreibung