Deep Learning












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            * Deep Learning
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            * Annotation

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            The objective of this course is to provide a comprehensive introduction to deep neural net
            have consistently demonstrated superior performance across diverse domains, notably in pro

            generating images, text, and speech. The course focuses both on theory spanning from the b
            latest advances, as well as on practical implementations in Python and PyTorch (students i

            train deep neural
            networks performing image classification, image segmentation, object detection, part of sp
            lemmatization, speech recognition, reading comprehension, and image generation). Basic Pyt

            are required, but no previous knowledge of artificial neural networks is needed; basic mac
            understanding is advantageous. Students work either individually or in small teams on week
            including competition tasks, where the goal is to obtain the highest performance in the cl





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            * Course guarantor
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            RNDr. Milan Straka, PhD.
            Ústav formální a aplikované lingvistiky
            straka@ufal.mff.cuni.cz


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            href="https://ufal.mff.cuni.cz/courses/npfl138/2425-summer#micro_credential">More informat