This project empirically evaluates various machine-learning techniques for handwritten digit recognition, using the MNIST dataset as a benchmark. We implemented and assessed the performance of four ...

This article explains how deep learning and machine learning techniques are being utilized to replace humans in a variety of activities, like item classification and sound addition. It emphasizes ...

Identification of the MNIST database that will be in handwritten digit can be recognized by the machine. It can be recognized that the human handwritten form into the machine language. Here we are ...

The algorithm outperformed a conventional machine-learning approach in which training was performed after a batch of data has been processed, producing 91.4% accuracy.

This project empirically evaluates various machine-learning techniques for handwritten digit recognition, using the MNIST dataset as a benchmark. We implemented and assessed the performance of four ...