Mini-Paint with Artificial Neural Network for recognizing basic arithmetical expressions

mnist dataset for hand written digit recognition

A C++ reader for the mnist database

Generating handwritten digits using Deep Convolutional Generative Adversarial Network(DCGAN).

An application that uses tensorFlow to recognize handwritten numerical digits from MNIST database of handwritten digits.

A naive sklearn-driven script to learn the best parameters for the MNIST database

A simple API for C language created to work easier with MNIST data files.

A simple implementation of a Restricted Boltzmann Machine, able to perfrom a supervised classification task on the MNIST database of handwritten digits, coded for prof. Bortolozzi course Biological Physics @unipd

MNIST Digits Classification with numpy only

Building a regression model using the Keras library. Building a classification model using the Keras library. The difference between the shallow and deep neural networks. Convolutional networks and how to build them using the Keras library. Recurrent Neural Networks. Autoencoders and how to build them using the Keras library.

In this project, I trained a Multiplayer Perceptron in Python to recognize handwritten digits obtained from the MNIST database.

A 3-layer neural network to differentiate handwritten digits in MNIST database

Machine Learning model to Recognise & Classify handwritten digits from MNIST Database using kNN Algorithm

An american sign language recognition task using CNN and machine learning algorithms

Python module to download and extract the MNIST database for training and testing deep learning neural networks in computer vision.

An AI project to recognize handwritten equations using CNN and solve equations accordingly.