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Multi-Layer Perceptron

A feedforward neural network composed of stacked fully connected layers — the simplest architecture that can learn nonlinear patterns.

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Understanding Micrograd Build a neural network from scratch — Karpathy's autograd engine, neurons, layers, and training — in pure Python with zero dependencies.
Understanding Makemore Build character-level language models from scratch — from bigram counting through MLPs, batch normalization, and WaveNet — generating new names with PyTorch.

lessons

Feedforward Networks and Residual Connections Understanding GPT / Building the Transformer
What Is Makemore? Understanding Makemore / Bigrams
The Neural Bigram Understanding Makemore / Bigrams
Embeddings and Context Understanding Makemore / The MLP Language Model
The MLP Architecture Understanding Makemore / The MLP Language Model
From MLP to Hierarchy Understanding Makemore / Building a WaveNet
What Is Micrograd? Understanding Micrograd / The Big Picture
Layers and MLPs Understanding Micrograd / Building a Neural Network
The Training Loop Understanding Micrograd / Training
Training on Moons Understanding Micrograd / The Full Picture
From Micrograd to PyTorch Understanding Micrograd / The Full Picture

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