Neural Networks: Zero to Hero Andrej Karpathy

Embark on a comprehensive journey to understand and implement neural networks from first principles. Led by Andrej Karpathy, this playlist demystifies deep learning by starting with the basics of backpropagation and gradient descent. You'll build a micrograd engine in Python and progress to implementing character-level LSTMs and Transformer architectures. This series is perfect for students, developers, and AI engineers who want to deeply grasp how neural networks function without relying on high-level frameworks initially.