Application of Spiking Neural Networks to Fashion Classification
| Autor: | Piotr Opielka, Katarzyna Nieszporek, Michal R. Wróbel, Janusz T. Starczewski, Alina Marchlewska |
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| Rok vydání: | 2019 |
| Předmět: |
Spiking neural network
0209 industrial biotechnology Previous generation Quantitative Biology::Neurons and Cognition Artificial neural network business.industry Computer science 02 engineering and technology Third generation 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Coding (social sciences) |
| Zdroj: | Artificial Intelligence and Soft Computing ISBN: 9783030209117 ICAISC (1) |
| DOI: | 10.1007/978-3-030-20912-4_17 |
| Popis: | In this paper, a model of spiking neural networks is studied. Such networks are commonly called as the third generation of artificial neural networks. The main difference between them and previous generation networks is that they are based on spiking neurons. This approach leads us to the need of using specific ways of coding inputs and outputs as well as original methods of learning. The paper considers evaluation of such a network with a Fashion-MNIST dataset that contains labeled images. The results of this experiment and its conclusion are also described in the paper. |
| Databáze: | OpenAIRE |
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