This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel Xeon processors.
My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.
Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
Speech Recognition with the Caffe deep learning framework, migrating to
C++ Deep Learning with Caffe [Video], Published By Packt
An adapted version of the original caffe deep learning library to support training, finetuning and testing of convolutional neural networks with limited numerical precision of weights and activations
Static version of Caffe known to work with Distributed Deep Q Learning project
An example of XCode project using Caffe: a fast open framework for deep learning
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