AIToday
Large Language ModelsOpen-Source AIr/MachineLearningPublished: Sep 3, 2026, 16:01 JST

C++ PCN library nears backprop accuracy

Send on LINE
C++ PCN library nears backprop accuracy

A developer built Deepity, a C++ machine learning library, to test Predictive Coding Networks (PCNs), an alternative to backpropagation. On MNIST (50 epochs), Deepity's DKPPCN achieved 97.73% test accuracy in 59.5s, close to PyTorch backprop's 98.27% in ~70s.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

r/MachineLearningRead Original Article
Send on LINE

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleMeta says Muse Spark 1.3 catches up with OpenAI, Anthropic