kgkolias/fmnist-cnn-mlp-image-classification

A Comparative Study through Convolutional Neural Networks and Multilayer Perceptrons in Image Classification Comparison of Convolutional Neural Networks and Multilayer Perceptrons applied in a multi-class image classification problem, in the F-MNIST dataset. • The F-MNIST dataset, consists of 70,000 images; 60,000 used for Training and 10,000 for Test purposes • Implemented on Matlab. Project Details: Neural Network Architecture Optimization, Hyperparameter Tuning, Regularization, Grid Search, Image Generation using Python, Data Preprocessing, Data Analysis

MATLAB