In this repository I have implemented computer vision on MNIST dataset for images classification for digits between 0-9, fashion clothings and sign language hand signals. The models are implemented using TesorFlow. Feel free to send a PR for any oprimization or modification.

Homeworks of the Machine Learning course (A.Y. 2020-2021) @ Sapienza University of Rome

Training an image classification model with CIFAR-10 dataset

Convolutional Neural Networks on Image Classification using a genetic algorithm for optimization

Explores the application of convolutional neural networks (CNNs) for the task of animal image classification. I have curated a dataset of diverse animal images and employed transfer learning to fine-tune pre-trained models on our specific task.

For this 2021/22 Foundations of Deep Learning project @ University of Milano-Bicocca we build a Convolutional Neural Network to correctly classify the images

Data Science and Machine Learning projects

Assignment on course Machine-Learnig & Pattern-Recognition, with theoretical and practical tasks!

In this tutorial, you will learn step-by-step the designing sequential model with Keras 3.0 with TensorFlow in backend. Otherwise, the data is the forest and mountain images and the Machine Learning problem we want to solve is a binary classification.