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Education application for Internet environment
Kratochvíl, Peter ; Škorpil, Vladislav (referee) ; Zeman, Václav (advisor)
This Master‘s thesis is dealing with the usage possibility of education application for internet environment in learning process. Nowadays, this kind of applications is called the E-learning system. Theoretical part is focused on basic principles, describes the reasons why are these systems so popular and used world wide. Negatives and positives of both, the e-learning system as well as the classic form of studying are described. Content of this part also shows the usual usage cases. Practical part deals with construction of the particular system, based on requested features. The main system was divided into the two main logical parts. Their functionality is well described. In this part also all used programming languages as well as tools and server operation systems are mentioned. Practical part is also used to show information about database system and description of the particular database which was created. In the conclusion can reader find the summary of all practical and theoretical results achieved during the work on the project.
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Neural Network Number Recognition
Doupovec, Zdeněk ; Juránek, Roman (referee) ; Šilhavá, Jana (advisor)
This work describes the basic concepts and principles in the field of neural networks. Closer then deals with the problem of multilayer perceptron networks, namely back-propagation method. There are analyzed the advantages and disadvantages of these methods, the proposal of possible digits recognition system using back-propagation. The aim is to obtain concrete results from the program whitch is able to recognize numbers.
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AI Algorithms
Petrželka, Jan ; Hrubý, Martin (referee) ; Janoušek, Vladimír (advisor)
This master's thesis describes artificial intelligence algorithms based on the book Artificial Inteligence: A Modern Approach by S. Russel and P. Norvig and implementation of the algorithms in the Squeak Smalltalk programming language with object oriented approach. Algorithms are based on pseudocode in the book and existing implementations in Lisp, Python and Java language. Main concepts are intelligent agents, agent simulation environments, state space search, game playing, planning, uncertainty and learning.
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Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
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Graphical Educational System
Farbiak, Peter ; Seeman, Michal (referee) ; Štancl, Vít (advisor)
The goal of the theoretical part of this Bachelor's thesis is to introduce basics of learning psychology, principles of programming and algorithms and creating of graphical user interface to reader. Practical part is about creating program which demonstrates principles of basic algorithmic structures by adding graphical objects.
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Visual Simulator and Debugger of Neural Networks
Beluský, Ondrej ; Zbořil, František (referee) ; Martinek, David (advisor)
Artificial neural networks represent computational parallel systems. This part of artificial intelligence is still researched. Basically neural network is the set of neurons, which are connected together. These networks have aspects of human intelligence, because they have an ability to learn. Their main goal is to simulate human brain, but creating such a network with large number of neurons and connections between them is impossible. They simulate some parts of human thinking. My task was to create visual simulator and debugger of these networks. The program was supposed to have a choice to debugging and stepping the algorithm for learning. My goal was also to implement editor, which allows creating and editing neural networks.
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Algorithms for Computerized Optimization of Logistic Combinatorial Problems
Bokiš, Daniel ; Peringer, Petr (referee) ; Hrubý, Martin (advisor)
This thesis deals with optimization problems with main focus on logistic Vehicle Routing Problem (VRP). In the first part term optimization is established and most important optimization problems are presented. Next section deals with methods, which are capable of solving those problems. Furthermore it is explored how to apply those methods to specific VRP, along with presenting some enhancement of those algorithms. This thesis also introduces learning method capable of using knowledge of previous solutions. At the end of the paper, experiments are performed to tune the parameters of used algorithms and to discuss benefit of suggested improvements.
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Abstract Syntax Tree Analysis for Python Teaching Support
Fáber, Jakub ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
The goal of this thesis is to create an analyzer system to check assignment solutions and to suggest improvements for them in terms of code quality and cleanliness. For the best results, a combination of static and dynamic analysis techniques is used. This system is implemented in the form of tutoring system and uses Docker containers for safe testing and analysis in an isolated environment. Interactive environment for communication with users is created with modern technologies such as Material Design.
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