Highlights
For this assignment you will be writing a Pytorch program that learns to classify 14 different Simpsons Characters using the grey scale images we provide. Copy the archive hw2.zip into your own filespace and unzip it. This should create an hw2 directory containing the main file hw2main.py, configuration file config.py, skeleton file student.py and data zip file data.zip . You will need to unzip the data file in the same directory to create a subdirectory named data. Your task is to complete the file student.py in such a way that it can be run in conjunction with hw2main.py by typing python3 hw2main.py You must NOT modify hw2main.py in any way. You should only submit student.py (If you wish, you can modify config.py in order to switch between CPU and GPU usage) The provided file hw2main.py handles the following: loading the images from the data directory splitting the data into training and validation sets (in the ratio specified by train_val_split)data transformation: images are loaded and converted to tensors; this allows the network to work with the data; you can optionally modify and add your own transformation steps, and you can specify different transformations for the training and testing phase if you wish
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