An Analysis of Convolutional Neural Network Models for Classifying Machine Tools

Author:

Koval Leonid,Pfaller Daniel,Bilal Mühenad,Bregulla Markus,Cupek Rafał

Publisher

Springer International Publishing

Reference29 articles.

1. Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 1097–1105. Curran Associates, Inc. (2012). http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf

2. Zoph, B., Le, Q.V.: Neural architecture search with reinforcement learning. ArXiv abs/1611.01578 (2017)

3. Szegedy, C., et al.: Going deeper with convolutions. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–9 (2015)

4. Chollet, F.: Deep learning with Python. Safari Tech Books Online, Manning, Shelter Island, NY (2018). http://proquest.safaribooksonline.com/9781617294433

5. Chollet, F., et al.: Keras: Simple. Flexible. Powerful (2015). https://keras.io

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