We propose two efficient variations of convolutional neural networks. BinaryWeight-Networks, when the weight filters contains binary values. XNOR-Networks, when both weigh and input have binary values. These networks are very efficient in terms of memory and computation, while being very accurate in natural image classification. This offers the possibility of using accurate vision techniques in portable devices with limited resources.
You can download the source code and the pre-trained models for AlexNet below:
