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What is Multilayer Perceptron?
A multilayer perceptron is a kind of feed forward artificial neural network, which is a mathematic model inspired by the biological neural network. The multilayer perceptron can be used for various machine learning tasks such as classification and regression.
How Multilayer Perceptron works?
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How Multilayer Perceptron is trained in Hama?
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How to use Multilayer Perceptron in Hama?
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Two class learning problem
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Example: XOR problem
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Multi class learning problem
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Example:
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Regression problem
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Example: Predict the sunspot activity
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Advanced Topics
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Parameter setting
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Reference
[1] Tom Mitchell. Machine Learning. [McGraw] Hill, 1997.
[2] Stanford Unsupervised Feature Learning and Deep Learning tutorial. http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial
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[3] Jiawei Han and Micheline Kamber. Data Mining Concept and Technology. The Morgan Kaufmann Series in Data Management Systems. 2011.
[4] Christopher M. Bishop. Neural Networks and Pattern Recognition. Oxford University Press. 1995.