Micrograd's 150-Line Neural Network Engine Demystifies Deep Learning With PyTorch-Like Power

Micrograd, a 150-line Python autograd engine with over 16,000 GitHub stars, brings PyTorch-like deep learning power to bare-bones code, making neural network backpropagation transparent and accessible at the most fundamental scalar level.

• Micrograd is a tiny scalar-valued autograd engine implementing backpropagation over a dynamically built DAG, with only about 100 lines of code for the engine and 50 for the neural net library.
• The library supports a PyTorch-like API and is capable of training deep neural networks for binary classification, as demonstrated by a 2-layer MLP achieving strong results on the moon dataset using SGD optimization.
• With over 16,000 GitHub stars and available via pip, Micrograd serves as an educational tool for understanding neural networks at the most granular level, breaking neurons down into individual scalar additions and multiplications.