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DRESS & GO: Deep belief networks and Rule Extraction Supported by Simple Genetic Optimization
DRESS & GO: Deep belief networks and Rule Extraction Supported by Simple Genetic Optimization
diploma thesis (DEFENDED)
Advisor: Mrázová, Iveta
Date Issued: 2018
Date of defense: 14. 06. 2018
Faculty / Institute: Matematicko-fyzikální fakulta / Faculty of Mathematics and Physics
Abstract: Nedávny vývoj v oblasti sociálnych médií a webových technológií prináša nové možnosti na získanie, analýzu a spracovanie stále sa zväčšujúceho množstva dát týkajúcich sa módy. V kontexte dizajnu a módy je naším hlavným ...
Recent developments in social media and web technologies offer new opportunities to access, analyze and process ever-increasing amounts of fashion-related data. In the appealing context of design and fashion, our main goal ...
Recent developments in social media and web technologies offer new opportunities to access, analyze and process ever-increasing amounts of fashion-related data. In the appealing context of design and fashion, our main goal ...
Deep neural networks and their implementation
Deep neural networks and their implementation
diploma thesis (DEFENDED)
Advisor: Mrázová, Iveta
Date Issued: 2016
Date of defense: 20. 06. 2016
Faculty / Institute: Matematicko-fyzikální fakulta / Faculty of Mathematics and Physics
Abstract: Hluboké neuronové sítě jsou efektivní a univerzální model schopný řešit širokou škálu úloh. Tato práce je zaměřena na studium tří různých typů hlubokých neuronových sítí - vícevrstvý perceptron, konvoluční neuronové sítě, ...
Deep neural networks represent an effective and universal model capable of solving a wide variety of tasks. This thesis is focused on three different types of deep neural networks - the multilayer perceptron, the convolutional ...
Deep neural networks represent an effective and universal model capable of solving a wide variety of tasks. This thesis is focused on three different types of deep neural networks - the multilayer perceptron, the convolutional ...
Deep neural networks and their application for image data processing
Deep neural networks and their application for image data processing
diploma thesis (DEFENDED)
Advisor: Mrázová, Iveta
Date Issued: 2016
Date of defense: 09. 02. 2016
Faculty / Institute: Matematicko-fyzikální fakulta / Faculty of Mathematics and Physics
Abstract: V oblasti rozpoznávání obrázků dnes patří k nejslibnějším modelům tzv. hluboké neuronové sítě, které často dosahují výrazně lepších výsledků než tradiční techniky, navíc bez nutnosti cíleného předzpracování vstupních dat. ...
In the area of image recognition, the so-called deep neural networks belong to the most promising models these days. They often achieve considerably better results than traditional techniques even without the necessity of ...
In the area of image recognition, the so-called deep neural networks belong to the most promising models these days. They often achieve considerably better results than traditional techniques even without the necessity of ...