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FB20 Computer Science · Offered in SoSe 2026
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• Auffrischung des Hintergrundwissens • Deep Feedforward Netze • Regularisierung im Deep Learning • Optimierung zum Training tiefer Netze • Convolutional tiefe Netze • Modelierung von Sequenzen durch Rekordernte und Rekursive Netze • Lineare Faktor Modelle • Autoenkoder • Repräsentationslernen • Strukturierte Probabilistische Modelle zum Deep Learning • Monte Carlo Methoden • Approximative Inferenz • Tiefe generative Modelle • Deep Reinforcement Learning • Deep Learning in Vision • Deep Learning in NLP
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