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activcoding/XOR-Gate-Neural-Network-in-Cpp

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This repository showcases a basic neural network designed to learn and predict the output of an XOR-Gate. It serves as an excellent introductory project for anyone looking to dive into the world of neural networks. Start your journey here with this simple yet fundamental 'Hello, World' example in neural networking.

active 2023-09-242024-05-30 (UTC)

Complete coverage26,758 / 26,758 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
Events
22
Pushes
8
Pull requests
2
Issues
4
Stars
3
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 250 days from 2023-09-24 to 2024-05-30. Pushes: 8 total, peak 5 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 4 total, peak 4 in a day. Comments: 1 total, peak 1 in a day. Stars: 3 total, peak 1 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
activcoding14821
PersonalTeamTom1000

Recent activity

Latest issues, pull requests and releases

  • Issue#2activcoding2023-10-25 14:46
    Add the training data generation file
  • Pull request#3activcoding2023-10-25 14:46
  • Pull request#3activcoding2023-10-25 14:46
  • Issue#2activcoding2023-10-25 14:45
    Add the training data generation file
  • Issue#1activcoding2023-10-25 14:30
    Training data is too short
  • Issue comment#1activcoding2023-10-25 14:30
    Training data is too short
  • Issue#1PersonalTeamTom2023-10-25 14:28
    Training data is too short

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.