Тема Название Описание
Lectures Файл Lecture 1: Intro to DL + Course Organization
Файл Lecture 2: Feed Forward Networks
Файл Lecture 3: Optimization & Training
Файл 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.

 

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