Deep Learning 1 Assignments

Practical assignments for the Deep Learning 1 course at the University of Amsterdam.

The assignments include:

• Assignment 1:
  • Implementing a MLP and backpropagation in NumPy from scratch to classify CIFAR10 iamges.
  • Reimplementing the same in PyTorch.
• Assignment 2:
  • Fine-tuning an ImageNet pre-trained model on CIFAR100.
  • Visual prompting with CLIP.
• Assignment 3:
  • Implementing and training a VAE on MNIST images.
  • Training an Adversarial Autoencoder (AAE).
  • Training a GPT-2.