Compute Stick • Framework: Caffe • Host computer: • Ubuntu Linux* 16.04 LTS x86-64-bit with a USB 2.0 port and an active internet connection • Toolkit features: • Compilation: Translation of network weights and structures from Caffe deep learning frameworks into a Movidius™ Neural Compute Stick compatible format. • Profiling: The generation of detailed, per-layer performance statistics of how your network is running on the Movidius™ Neural Compute Stick. • Checking: Verification of classification accuracy by running inferences with the Movidius Neural Compute Stick. https://developer.movidius.com/ • Headline Features • Convolutions, NxN Convolution with Stride S. The following cases have been extensively tested:1x1s1,3x3s1,5x5s1,7x7s1, 7x7s2, 7x7s4, Group convolution, Depth Convolution kernel sizes 3x3, 5x5, 7x7, 9x9, strides 1, 2, 3, 4, 8 • Max Pooling Radix NxM with Stride S, Average Pooling Radix NxM with Stride S, Local Response Normalization, Relu, Relu-X, Prelu, Softmax, Sigmoid,Tanh, Deconvolution, Slice, Scale, ElmWise unit, Fully Connected Layers • Element wise operations : sum, prod, max • Elu, Reshape, Flatten, Power, Crop