This is a university project for the course "Artificial Intelligence" of the fourth semester. It involves the deployment of a deep neural network which classifies handwritten numerical digits from the MNIST database. The tasks (as seen in the wording.pdf file) are
- hyperparameter tuning
- improve the overall model
- answering some questions
The code is in the google colab file and the technical report is in the word file.