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!

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) Python (using …

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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 (BVLC). Caffe …

A deep education framework created with Caffe is used to do the age or sex approximation task. Our model is able to detect multiple faces in single image and predict age and gender of all faces present …

MyCaffe is an open source, complete re-write of Berkeley’s Caffe, in the C# language.