Ca e provides a complete toolkit for training, testing, netuning, and deploying models, with well-documented ex-amples for all of these tasks.

What is Caffe? pre-trained weights so you can start right away. The BVLC models are licensed for unrestricted use. The community shares models in the Model Zoo. JSON! Always Write ≥2 Tests!

Caffe is a library written in C++, to facilitate the experimentation with and use of Convolutional Neural Networks (CNN). Caffe has been developed by Berkeley Vision and Learning Center …

Python Solver Can replace caffe train and instead use Solver directly from Python Example in unit test

Fast R-CNN (Region-based Convolutional Networks) fast object detector implemented with Caffe Caffe fork on GitHub that adds two new layers (ROIPoolingLayer and SmoothL1LossLayer) …

Spanning over three generations, we have grown from a side door caffe situated on Central Avenue, into one of the most recognized and appreciated restaurants in the Albany area.

Specifically we studied the training performance across different generations of servers/CPUs, and the scalability of Intel Caffe to hundreds of servers. Intel Caffe is a fork of BVLC (Berkeley …