Lehrinhalte
Einführung in Deep Learning, mathematische Grundlagen, Keras und TensorFlow, Klassifikation, convolutional neural nets, adversarial deep learning, Textgenerierung
Literatur
Deep Learning with Python (3rd edition) - François Chollet
Voraussetzungen
empfohlen: Python Grundkenntnisse, ADM, Einführung in die Optimierung
Online-Angebote
moodle
{mlang}Course Contents
introduction to deep learning, mathematical foundations, Keras and TensorFlow, classification, convolutional neural nets, adversarial deep learning, text generation
Literature
Deep Learning with Python (3rd edition) - François Chollet
Preconditions
recommended: Python Basics, ADM, Introduction to Optimization
- Lecturer: Yann Disser
- Lecturer: Erik Jansen
Semester: ST 2025
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