This repository contains three Deep Learning tutorials which I wrote for the Machine Learning course at University of Modena and Reggio Emilia.
They have been designed for a three hours class, in which students can get to know automatic differentiation and SGD and design some simple Neural Networks.
- Tutorial 1: Training a Linear Regression model with SGD and Keras backend.
- Tutorial 2: Multilayer Perceptron in Keras on the MNIST dataset
- Tutorial 3: A Convolutional Neural Network trained on the CIFAR10 dataset