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.
Caffe Library
Guide to Convolutional Neural Networks ; 131-166
2017-01-01
36 pages
Article/Chapter (Book)
Electronic Resource
English
Text File , Validation Sample , Batch Size , Convolutional Neural Network , Node Data Computer Science , Pattern Recognition , Information Systems Applications (incl. Internet) , Computer Systems Organization and Communication Networks , Signal, Image and Speech Processing , Language Translation and Linguistics , Automotive Engineering
Caffe Doppio. Praxistest Alfa 147 JTD 16V Viertuerer
Automotive engineering | 2003
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Online Contents | 2013