ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ | ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ | ΕΠΙΣΤΗΜΗ ΔΕΔΟΜΕΝΩΝ ΚΑΙ ΜΗΧΑΝΙΚΗ ΜΑΘΗΣΗ

Deep Learning

Description

Introduction. Linear Algebra, Numerical Computation. Deep Feedforward Networks. Regularization for Deep Learning. Optimization for Training Deep Models. Convolutional Networks. Autoencoders and Representation Learning. Sequence Modeling: Recurrent and Recursive Nets. Generative Adversarial Networks. Deep Reinforcement Learning. Deep Learning applications.

Semester
Spring Semester
Category
Optional
Lecture Hours
1 hour
Lab Hours
2 hours
Credits
5