Abstract There are various powerful libraries such as Theano, Lasagne, Keras, mxnet, Torch, and TensorFlow that can be used for designing and training neural networks including convolutional neural networks. Among them, Caffe is a library that can be used for both doing research and developing real-world applications. In this chapter, we explained how to design and train neural networks using the Caffe library. Moreover, the Python interface of Caffe was discussed using real examples. Then, we mentioned how to develop new layers in Python and use them in neural networks.


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