Skip to content
#

backpropagation-learning-algorithm

Here are 158 public repositories matching this topic...

A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.

  • Updated Apr 11, 2024
  • Python

Implementation of a neural network model with backpropagation algorithmfor image classification using the MNIST dataset, featuring experiments varying learning rates, momentum, hidden units, and training data sizes

  • Updated Feb 10, 2024
  • Jupyter Notebook

CIFAR-10 is an established computer-vision dataset used for object recognition. It is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class. Using this we develop a model that can classify images

  • Updated May 10, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the backpropagation-learning-algorithm 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 backpropagation-learning-algorithm topic, visit your repo's landing page and select "manage topics."

Learn more