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Classification with Use of Neural Networks in the Keras Environment
Pyšík, Michal ; Burgetová, Ivana (oponent) ; Bartík, Vladimír (vedoucí práce)
This thesis examines the problematics of classification using artificial neural networks within use of the Keras framework, a high-level deep learning API for the Python programming language. The aim of the thesis is to discover the diverse options Keras has to offer in the field of classification, and to compare different types and topologies of artificial neural networks in the form of experiments on selected datasets, complemented by a simple experimental application whose main purpose is to provide an interface for these experiments.

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