Abschnitt Name Beschreibung
Lectures Datei Lecture 1: Intro to DL + Course Organization
Datei Lecture 2: Feed Forward Networks
Datei Lecture 3: Optimization & Training
Datei Lecture 4: Convolutional Neural Networks

Please find the PDF & the PPT here, as well as the video recording for the second part of the lecture on important CNN architectures.

The .pptx slides contain additional videos / animations that are not playing in the PDF.

 

 
Datei Lecture 5: Autoencoders and Generative Adversarial Networks
Datei Lecture 6: Recurrent Neural Networks, Sequence to Sequence and Attention Models
Datei Lecture 7: Attention & Transformers
Datei Lecture 8 - Introduction to Reinforcement Learning
Datei Lecture 9 - Deep Reinforcement Learning
Datei Lecture 10 - Graph Representation Learning
Datei Lecture 11 - Graph Neural Networks