Just a tiny neural network built from scratch in Py and NumPy with tests visualizations and training artifacts >.< - hyvvs/neural-network-from-scratch ...

In this book Dr. Joachim Steinwendner and Dr. Roland Schwaiger show how to program a neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. The book ...

Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...

Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights' - RikiyaT/lm_understand-logs ...

The recent awarding of the Nobel Prize in Physics to John Hopfield has generated some interest in Hopfield networks. The good news is that it is remarkably easy to understand and implement such a ...

In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...

A German academic research group today posted an open-source AI agent to arXiv that approaches ARC-AGI-3 — the interactive benchmark where frontier models including Claude Opus 5 still cannot reliably ...

Ben Affleck writes Python, understands convolutional neural networks, and used his celebrity status to get private looks at ...