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We would like to show you a description here but the site won’t allow us. 6.2 Deep Learning. This network gains knowledge from this data, which is compiled as “weights” of the network. 6.1.1 Multilayer Perceptron Example. The original goal of R-CNN was to take an input image and produce a set of bounding boxes as output, where each bounding box contains an object and also the … 24 Full PDFs related to this paper. Heaton, Polson, and Witte (2016) develop a neural network for portfolio selection. Sirignano, Sadhwani, and Giesecke (2016) estimate a deep neural network for mortgage prepayment, delinquency, and foreclosure. 7.2 Multiclass Classification. 6.2.2 Recurrent Neural Network. We have now placed Twitpic in an archived state.

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