Skip to content
#

sigmoidactivation

Here are 4 public repositories matching this topic...

Language: All
Filter by language

This repository implements handwritten digit recognition using a deep neural network trained on the MNIST dataset. It covers data preprocessing, model building, training, and evaluation for high accuracy classification. Additionally, it includes a system for predicting digits from new images. The project demonstrates effective use of deep learning.

  • Updated Feb 3, 2026
  • Jupyter Notebook

This project implements a simple feed-forward neural network for recognizing digits (0-9) from image data using backpropagation. The neural network is trained to identify digits based on pre-processed image data, which is filtered and resized before being used to train the network. The images are in grayscale and are converted to binary values

  • Updated Dec 26, 2024
  • Python

Improve this page

Add a description, image, and links to the sigmoidactivation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the sigmoidactivation topic, visit your repo's landing page and select "manage topics."

Learn more