Matematické základy umělých neuronových sítí
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
This thesis covers the topic of artificial neural networks, especially perceptron and multilayer percetron. The goal is to describe perceptron, multilayer perceptron and methods of learning in a mathematical framework and show their usage in classification and regression.
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Artificial neural networks, neuron, multilayer perceptron, gradient descent learning, classification, regression, approximation