1.1.1 Safe to install
The application provides a platform for training and testing a three-layer neural network specifically designed for recognizing handwritten digits ranging from 0 to 9.
Users have access to the integrated MNIST database, which contains 40,000 handwritten digit samples. Additionally, the app offers the unique capability to personalize the learning experience by allowing users to train the network using their own handwriting. This can be accomplished either via a smartphone camera or by directly writing on the screen with a finger.
Inspired by the concepts presented in Tariq Rashid's book "Make Your Own Neural Network," this app serves as a practical tool for those interested in neural network implementation. The source code is available on GitHub for further exploration and development.
Overview
Neural Net for Handwriting is a Freeware software in the category Education developed by Frank Zielen.
The latest version of Neural Net for Handwriting is 1.1.1, released on 01/10/2025. It was initially added to our database on 01/10/2025.
Neural Net for Handwriting runs on the following operating systems: iOS.
Users of Neural Net for Handwriting gave it a rating of 2 out of 5 stars.
Screenshots (Click to view larger)
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