Image data classification of multilayer perceptron and convolutional neural networks made in Python.
| .github | ||
| .idea | ||
| data/FashionMNIST/raw | ||
| FashionMNIST | ||
| results | ||
| experiment-1.py | ||
| experiment-2.py | ||
| experiment-3.py | ||
| experiment-4.py | ||
| experiment-5.py | ||
| experiment-6-convolutional-neural-network.py | ||
| experiment-7.py | ||
| experiment-8.py | ||
| hyperparameter-training.py | ||
| LICENSE.md | ||
| multilayer-perceptron.py | ||
| README.md | ||
Classification of Image Data with MLP and CNN
This project implements both a multilayer perceptron and a convolutional neural network in Python; the perceptron comprises an input layer, one or more hidden layers, and an output layer, while the convolutional network features two convolutional layers, a fully connected hidden layer and a fully connected output layer.
Authors
- Batuhan Berk Başoğlu, 260768350 - batuhan-basoglu
- Jared Tritt, 260763506 - Jaredtritt