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Simple Neural Network
A lightweight C++ framework for building and training neural networks using error backpropagation and stochastic gradient descent
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
A lightweight C++ framework for building and training neural networks using error backpropagation and stochastic gradient descent. Supports flexible architecture design with customizable layer counts and sizes. Ideal for developers learning neural network fundamentals or integrating ML into C++ applications.
HTTP liveness
9 probes since Jun 16Jun 16Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jun 16, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
9 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
550 products launched in 2026 · 100% still active
550 active0 sunset
Still active
100%
Median lifespan
4.9y