This repository contains our experiments in deep learning, including classification, regression, and generative modeling tasks using Keras and TensorFlow. The work was carried out on datasets like Fashion MNIST, CIFAR-10, and custom image datasets.
- Experiment with various network architectures (MLP, CNN) on image datasets.
- Perform hyperparameter tuning for model optimization.
- Develop generative models including CAE, VAE, and GAN.
- Explore the application of deep learning techniques in real-world contexts.
- Chloé Tap
- Evan Meltz (me)
- Giulia Rivetti
- Part1_Fashion: Contains the Fashion MNIST deep learning code.
- Part1_CIFAR: Contains the CIFAR-10 experiments.
- Part2: Contains code for additional tasks.
- Part3: Contains code for generative model experiments.
- Assignment_Documentation: Contains the assignment instructions and report.