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lightaime/cs231n resource

cs231n assignments sovled by https://ghli.org observed · 2026-08-28

github.com/lightaime/cs231n · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3572
  • days_rel: n/a
  • days_push: 1365
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1406 stars · 488 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Completed solutions for Stanford's CS231n (Convolutional Neural Networks for Visual Recognition) course assignments, written in Jupyter Notebooks. It serves as a reference for students working through the 2016-era assignments.

Use cases

  • check my cs231n assignment solutions
  • study convolutional neural network assignment answers
  • learn backpropagation and CNN implementation from scratch
  • reference for cs231n homework
  • understand how to implement neural nets in numpy

When to choose

  • you are taking or self-studying CS231n and want to verify your solutions
  • you want to see worked numpy implementations of CNNs, RNNs, and backpropagation

When to avoid

  • you want current course material or modern deep learning practices
  • you need a maintained library or production code
  • you want to avoid spoilers before attempting assignments yourself

Facets

learning-resource · maturity abandoned

deep-learning machine-learning computer-vision deep-learning computer-vision education tutorials python cs231n assignments solutions jupyter-notebook stanford-course

1 source

Member repositories

RepositoryRoleHealth v2
lightaime/cs231nmain32

For agents

markdown · JSON · MCP: product_card(name="lightaime/cs231n")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem