July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Multilayer perceptron networks
A MLP network is a FNN with multiple layers. The network uses supervised learning with backpropagation where feedback is sent to early layers to assist in the learning process. Some of the neurons use a nonlinear activation function mimicking biological neurons. Every nodes of one layer is fully connected to the following layer.
We will use a dataset called dermatology.arff that can be downloaded from http://repository.seasr.org/Datasets/UCI/arff/. This dataset contains 366 instances used to diagnosis erythemato-squamous diseases. It uses 34 attributes to classify the disease into one of five different categories. The following is a sample instance:
2,2,0,3,0,0,0,0,1,0,0,0,0,0,0,3,2,0,0,0,0,0,0,0,0,0,0,3,0,0,0,1,0,55,2 ...
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