Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During the forward pass, BNNs drastically reduce memory size and accesses, and replace most arithmetic operations with bit-wise operations, which is expected to substan
Binarized Neural Networks
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time and when computing the parameters' gradient at train-time. We conduct two sets of experiments, each based on a different framework, namely Torch7 and Theano, where we train BNNs on MNIST, CIFAR-10 and SVHN, and achieve nearly state-of-the-art results. During the forward
15 Must-Have Apps for Those Who Spend All Day on a Mac
Our list of the best Mac apps already caters to all kinds of users, but today we have a set of apps aimed squarely at those who are glued to their MacBooks and iMacs all day. These powerful utilities are designed to enhance your everyday Mac OS X experience. They'll make your digital workflow not just more productive, but also more comfortable and pleasant. We have saved applications like office s
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