Transitioning Between Convolutional and Fully Connected Layers in Neural Networks-Reference-Cited by-同舟云学术

Transitioning Between Convolutional and Fully Connected Layers in Neural Networks

Published:2017 Issue: Volume: Page:143-150
ISSN:0302-9743
Container-title:Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
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Author:

Akbar Shazia,Peikari Mohammad,Salama Sherine,Nofech-Mozes Sharon,Martel Anne

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-67558-9_17

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4. 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 (2012)

5. LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278–2324 (1998)

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