Abstract
Neural nets fall into the Learning category of our taxonomy. In this chapter, we will expand our neural net toolbox with convolution and pooling layers. A general neural net is shown in Figure 10.1. This is a “deep learning” neural net because it has multiple internal layers. Each layer may have a distinct function and form. In the previous chapter, our multi-layer network had multiple layers, but they were all functionally similar and fully connected.
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References
Matthijs Hollemans. Convolutional Neural Networks on the iPhone with VGGNet. http://matthijshollemans.com/2016/08/30/vggnet-convolutional-neural-network-iphone/, 2016.
Andrew Ng, Jiquan Ngiam, Chuan Yu Foo, Yifan Mai, Caroline Suen, Adam Coates, Andrew Maas, Awni Hannun, Brody Huval, Tao Wang, and Sameep Tandon. UFDL Tutorial. http://ufldl.stanford.edu/tutorial/, 2016.
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© 2019 Michael Paluszek and Stephanie Thomas
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Paluszek, M., Thomas, S. (2019). Pattern Recognition with Deep Learning. In: MATLAB Machine Learning Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3916-2_10
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DOI: https://doi.org/10.1007/978-1-4842-3916-2_10
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