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FIT-KNNAcad. year: 2022/2023
Solutions based on machine learning approaches gradually replace more and more hand-designed solutions in many areas of software development, especially in perceptual task focused on information extraction from unstructured sources like cameras and microphones. Today, the dominant method in machine learning is neural networks and their convolutional variants. These approaches are at the core of many commercially successful applications and they push forward the frontiers of artificial intelligence.
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Specification of controlled education, way of implementation and compensation for absences
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Basic literature
Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, 2016.
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eLearning
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specialization NADE , any year of study, summer semester, electivespecialization NBIO , any year of study, summer semester, compulsoryspecialization NGRI , any year of study, summer semester, electivespecialization NNET , any year of study, summer semester, electivespecialization NVIZ , any year of study, summer semester, compulsoryspecialization NCPS , any year of study, summer semester, electivespecialization NSEC , any year of study, summer semester, electivespecialization NEMB , any year of study, summer semester, electivespecialization NEMB do 2021/22 , any year of study, summer semester, electivespecialization NHPC , any year of study, summer semester, electivespecialization NISD , any year of study, summer semester, electivespecialization NIDE , any year of study, summer semester, electivespecialization NISY do 2020/21 , any year of study, summer semester, electivespecialization NISY , any year of study, summer semester, electivespecialization NMAL , any year of study, summer semester, compulsoryspecialization NMAT , any year of study, summer semester, electivespecialization NSEN , any year of study, summer semester, electivespecialization NVER , any year of study, summer semester, electivespecialization NSPE , any year of study, summer semester, compulsory
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