Deep Learning with PyTorch

Deep learning implemented in Python and using the PyTorch library.

Aim

The aim is to demonstrate the mastery of some of the deep learning topics, including deep neural networks (DNN), convolutional neural entwork (CNN), variational autoencoders (VAE) and generative adversarial networks (GAN), with a focus on methodology, neural network architecture design, implementation, training, and evaluation of the performance of a deep learning model.

This focus of this project is the colourisation of greyscale images with autoencoders.

Remarks

This group project is submitted as part of assessed coursework.

Files

• final.ipynb contains all Python code used for this project.
• report.pdf is the written report for this project.
• The original dataset is sourced from "https://github.com/unsplash/datasets".