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Adit-Mugdha-das/Gradient-Checking

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This implements gradient checking to verify the correctness of backpropagation in deep neural networks by comparing analytical gradients with numerical approximations. Part of Week 3 from the Deep Learning Specialization (Course 2) by Andrew Ng.

active 2025-04-26 → 2025-04-26 (UTC)

Partial coverage11,418 / 12,327 hourly files (93%) · 2 absent upstream · 906 failed, retryable2025-03-15 → 2026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-04-26 to 2025-04-26. Pushes: 1 total, peak 1 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
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  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
Adit-Mugdha-das1100

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No issue or PR events — this repo's activity is pushes only.

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.