Typical CNNs
CNNs of various architectures have been proposed so far. In this section, we will look at two important networks. One is LeNet (Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner (1998): Gradient-based learning applied to document recognition. Proceedings of the IEEE 86, 11 (November 1998), 2278 – 2324. DOI: (http://dx.doi.org/10.1109/5.726791)). It was one of the first CNNs and was first proposed in 1998. The other is AlexNet (Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton (2012): ImageNet Classification with Deep Convolutional Neural Networks. In F. Pereira, C. J. C. Burges, L. Bottou, & K. Q. Weinberger, eds. Advances in Neural Information Processing Systems 25. Curran Associates, Inc., 1097 – 1105). It was proposed in 2012 and drew attention to deep learning.
LeNet
LeNet is a network for handwritten digit recognition that was proposed in 1998. In the network, a convolution layer and a pooling layer (i.e., a subsampling layer that only...
