A program that generates adversarial examples for the Fashion MNIST dataset to fool a Convolutional Neural Network for Machine Learning and Neural Networks (MLNN) course.
Eritz Yerga Gutierrez - eritzyg
The dataset used for this project is the Fashion MNIST dataset. The dataset must be downloaded and placed in a specific folder (explained in the notebook in detail).
To run this project you need Python and Jupyter Notebook. Also you will need to install all the python libraries specified in the notebook.
Documentation is available in the releases section with the corresponding release.
To facilitate the usage of the program, a pre-trained CNN is included with the notebook. The training has been done with 30 epoches and a batch size of 100.