DeepLearningCV: Deep Learning for Visual Recognition

This is a repository, under implementation as a part of Deep Learning for Visual Recognition course offered at University of Bonn. Here we implement different deep learning model and validate them for visual recognition task mainly object classification. All implementations are part of learning exercise and can be used by anyone else.

Assignment Overview

• Assignment 1:k-nearest neighbor and linear regression on MNIST

  This assignment is a simple introduction to machine learning methods. We implement two algorithms k-nearest neighbor classifier and linear regression. For evaluation we use MNIST dataset.

• Assignment 2: MLP on MNIST and ORL Dataset

  In this exercise we implement MLP using pytorch and use it to classify MNIST dataset and ORL database of faces.

• Assignment 3: MLP with sgd and nesterov momentum

• Assignment 4: CNN for face classification

References

• MNIST Dataset
• ORL Dataset