Deep Learning Platforms

There are many deep learning platforms available such as Caffe, TensorFlow, MXNet, Torch, and Theano. Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, which originally was developed at the University of California, Berkeley. Caffe supports visual object detection and classification as well as image segmentation using CNN, R-CNN, LSTM, and fully connected neural networks. Caffe supports GPU-based and CPU-based acceleration. Caffe2 includes new features such as Recurrent Neural Networks. At the end of March 2018, Caffe2 was merged into PyTorch.