This repository contains exercises and projects completed as part of the Deep Learning course at Reichman University. The course covers various topics in deep learning, including:
- Neural networks
- Convolutional neural networks
- Recurrent neural networks
- Generative models
- Reinforcement learning
To get started with the exercises and projects in this repository, you will need to have Anaconda installed on your machine. Once you have Anaconda installed, you can create a new conda environment using the environment.yml file in the environment-setup directory:
conda env create -f environment-setup/DL-env.yml
This will create a new conda environment called dl_env with all the necessary dependencies for running the exercises and projects in this repository.
To activate the dl_env environment, run:
conda activate dl_env
Once you have activated the environment, you can run the exercises and projects by navigating to the relevant directory and running the Python files.
For more information on setting up the conda environment, see the environment-setup directory.
This repository is licensed under the MIT License. See the LICENSE file for details.