Paper Review: "Deep learning" (2015)

This paper is a review of the state-of-the-art emphasizing convolutional neural nets (CNNs) and recurrent neural nets (RNNs) and their applications to key domains including vision, speech recognition, and more. This figure explains how information flows through a CNN on the forward pass. First filters are convolved with sections of the image and regularized with ReLu. This information is max pooled, which selects the maximum from a set of values. This process is repeated for multiple layers.