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neural-network-zero-to-hero

This repository contains my work and notes for the first four parts of the AI Neural Network Course by Andrej Karpathy.

Course Overview

The course provides a comprehensive introduction to the field of neural networks and deep learning. It is divided into several parts, and this repository focuses on the first four:

  1. The spelled-out intro to neural networks and backpropagation: building micrograd
  2. The spelled-out intro to language modeling: building makemore
  3. Building makemore Part 2: MLP
  4. Building makemore Part 3: Activations & Gradients, BatchNorm

Google Colab

All the course work and exercises are implemented in Google Colab notebooks. Google Colab is a free cloud service that provides an environment to write, run, and share code. It's especially suited for machine learning and data analysis.

Work in Progress

Please note that this repository is currently a work in progress and will be updated as I continue to progress through the course. Stay tuned for more updates!