Skip to content

GOWTHAM-97-GRADE/MNIST-Neural-Network-Implementation-using-Numpy

View on GitHub ↗Related repositories →

A Python and NumPy-based implementation of a feedforward neural network for the MNIST dataset, featuring data conversion, network training, and performance evaluation.

active 2024-07-202024-07-21 (UTC)

Complete coverage27,094 / 27,096 hourly files (100%) · 2 absent upstream2023-08-152026-09-16 (UTC)
Events
9
Pushes
5
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2024-07-20 to 2024-07-21. Pushes: 5 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
GOWTHAM-97-GRADE5500

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.