BinaryNet-on-tensorflow

binary weight neural network implementation on tensorflow

This is an implementation code for reproducing BNN

How to run

python mnist.py
python cifar10.py

Accuracy

Different between paper

layer-wise learning rate, paper is layer_lr = 1./sqrt(1.5 / (num_inputs + num_units)), my implement is layer_lr / 4

Ref

[BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1"](http://arxiv.org/abs/1602.02830),
Matthieu Courbariaux, Yoshua Bengio

and An implemtation of binaryNet for Keras