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Hidden Layer Perceptron Accuracy Analysis by Christine Feng is a document available to read on EtoBox.

What is Hidden Layer Perceptron Accuracy Analysis about?

The document contains results from neural network tests on pen and car data using different numbers of hidden layer perceptrons. For the pen data, the accuracy increases from 0 to 5 perceptrons then levels off between 5-40 perceptrons, excluding a spike at 15 perceptrons. For the smaller car data, the accuracy is less uniform due to random variations in the smaller dataset and fewer test runs. More perceptrons generally increase accuracy but returns diminish with larger numbers.

Author

Christine Feng

Language

EN