Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)

Arturo Marban, Daniel Becking, Simon Wiedemann +1

Deep neural networks (DNN) have shown remarkable success in a variety of machine learning applications. The capacity of these models (i.e., number of parameters), endows them with…