UVA Deep Learning Course


MSc in Artificial Intelligence for the University of Amsterdam.

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About


Deep learning is primarily a study of multi-layered neural networks, spanning over a great range of model architectures. This course is taught in the MSc program in Artificial Intelligence of the University of Amsterdam. In this course we study the theory of deep learning, namely of modern, multi-layered neural networks trained on big data. The course focuses particularly on computer vision and language modelling, which are perhaps two of the most recognizable and impressive applications of the deep learning theory. The course is taught by Assistant Professor Efstratios Gavves, Kirill Gavrilyuk, Berkay Kicanaoglu, and Patrick Putzky.

News


  • The Practical 3 is released. Check Practical 3.
  • The Practical 2 is released. Check Practical 2.
  • The video links for the recordings of lectures 3, 4 are now available.
  • The slides from Lecture 4 are uploaded.
  • The slides from the SURF SARA presentation are uploaded.
  • The papers for the student presentatiins are uploaded, check Practical 4.

Lectures


Lecture 1

Introduction to Deep Learning and Neural Networks

Lecture 2

Learning with neural networks

Lecture 3

Deeper into Deep Learning
and Optimizations

Lecture 4

Convolutional Neural Networks
for Computer Vision

Lecture 5

Understanding ConvNets
and Knowledge Transfer

Lecture 6

Structured Prediction
with Convnets

Lecture 7

Language Models and
Word Embeddings

Lecture 8

Recurrent Neural Networks
   

Lecture 9

Unsupervised, Generative
and Adversarial Networks

Lecture 10

Invited talks by T. Kipf
R. Tao, Z. Li, P. Putzky

Lecture 11

Memory Networks for
Language Understanding

Lecture 12

Student presentations
Series 2

Lecture 13

Student presentations
Series 1

Lecture 14

Exotic Deep Learning

Lecture 15

SURF SARA Tutorial,
HPC Deep Learning

If you are interested in older versions of the lectures, you can find them below.

UVADLC Feb 2016

Hot Questions


During the course several interesting questions pop up. Instead of having them lost during the lectures, we put here all the questions could be of interest to more people, inside and outside the University of Amsterdam. Although not all questions are going to be immediately answered because of time constraints, the goal is to have the answers online as soon as possible. If you have an interesting question for which you would like an answer, you can always email us.

Hot questions

Practicals


Contact us!


If you have any questions or recommendations for the website or the course, you can always drop us a line! The knowledge should be free, so feel also free to use any of the material provided here (but please be so kind to cite us). In case you are a course instuctor and you want the solutions, please send us an email.