Welcome to the Deep Learning Foundation project repository! This repository contains the code, resources, and documentation for our coursework on deep learning concepts and applications.
This repository serves as a collaborative workspace for the members of our group to develop, implement, and test various deep learning models and techniques as part of the Deep Learning Foundation course.
- Notebooks/Code: Python scripts and Jupyter notebooks implementing deep learning models and experiments.
- Reports: Documentation and insights from our experiments and findings.
- Python 3.8 or higher
- TensorFlow / PyTorch
- Additional libraries: NumPy, Pandas, Matplotlib
- Clone the repository:
git clone https://github.com/mohammadshughri/Deep-learning-Exercises.git
- Navigate to the repository folder:
cd deep-learning-foundation
The dataset used in this project is downloaded automatically when the code is executed in the notebooks. No manual dataset download is required.
Navigate to the notebooks folder to find individual project tasks and exercises. Follow the instructions in the notebooks to run the experiments. The required dataset will be downloaded automatically. Refer to the reports folder for detailed analysis and results.