DeepLearningProject1 - CNNS

This project is about using Convolutional Neural Networks for classification of images, for CINIC-10 data. The main goal of the project was to test various network structures and hyper-parameters values/methods.

Instruction of the application

• Create a directory called data and put the dataset there (with train and test folders).
• main.py- Here you can modify the code to choose which model and other parameters you want to use for training.
• models- In this directory, the models are implemented.
• plots.ipynb - With this notebook, the plots and graphs for the report were created

Authors:

• Magdalena Jeczeń
• Łukasz Grabarski