Deep Learning for
Computer Vision


Foundations of Convolutional Neural Networks


course starts soon..

Quiz


We will start now with a quiz based on the first week material

You have 6 minutes to answer the quiz.

The quiz link:
Quiz Link
It will be copied in Mattermost and in the Zoom chat.

Projects

A short overview about what's happening
and the group definition
next week it should be definitive

Where can I find other projects or resources?

Kaggle (projects)

HuggingFace (NLP/CV, models)

Tensorflow Model Garden - Community (models)

Papers with Code (code and explanation)

or somewhere else too

Discussion (10 Minutes)


  1. What is the biggest advantage of CNN over traditional FFNN? And what it its biggest limitation?
  2. Pooling layers are often applied after convolution layers. What would you think it would happen if you switch their position, so that the image will pass through the pooling step first and then will the convolution be applied?
  3. Why is it often the case that the width and height of an image reduces and the third dimension (channel) increase when getting deeper into the network?

Homework

Any volunteer for the first assignment?
Later they will be harder..

For the next week

Project Plan

  1. objective in a sentence, defining input and output
  2. guess about the hardest/longest part of the project
  3. guess about the accuracy - how do you measure it?