^ "Comparing Frameworks: Deeplearning4j, Torch, Theano, TensorFlow, Caffe, Paddle, MxNet, Keras & CNTK".In April 2017, Facebook announced Caffe2, which included new features such as Recurrent Neural Networks.Īt the end of March 2018, Caffe2 was merged into PyTorch. Yahoo! has also integrated Caffe with Apache Spark to create CaffeOnSpark, a distributed deep learning framework. Applications Ĭaffe is being used in academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia. Caffe supports GPU- and CPU-based acceleration computational kernel libraries such as NVIDIA cuDNN and Intel MKL. It supports CNN, RCNN, LSTM and fully connected neural network designs. Features Ĭaffe supports many different types of deep learning architectures geared towards image classification and image segmentation. Yangqing Jia created the Caffe project during his PhD at UC Berkeley.
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