Further Reading

The glut of recent interest in Convolutional Networks means that we're spoiled for choice for further reading. One good option for an unfamiliar reader is the course notes from Andrej Karpathy's course: http://cs231n.github.io/convolutional-networks/.

For readers with an interest in the deeper details of specific best-in-class implementations, some of the networks referenced in this chapter were the following:

Google's GoogLeNet (http://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf)

Google Deepmind's Go-playing program AlphaGo (https://gogameguru.com/i/2016/03/deepmind-mastering-go.pdf)

Facebook's DeepFace architecture for facial recognition (https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf)

The ImageNet LSVRC-2010 contest winning network, described here by Krizhevsky, Sutskever and Hinton (http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf)

Finally, Sergey Zagoruyko's Torch implementation of a ConvNet with Batch normalization is...