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
01.01.2017
36 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Text File , Batch Size , Convolutional Neural Network , Node Data , Validation Sample Pattern Recognition , Signal, Image and Speech Processing , Language Translation and Linguistics , Computer Systems Organization and Communication Networks , Automotive Engineering , Computer Science , Information Systems Applications (incl. Internet)
Caffe Doppio. Praxistest Alfa 147 JTD 16V Viertuerer
Kraftfahrwesen | 2003
|British Library Online Contents | 2018
|Online Contents | 2013
Online Contents | 2013