Neural networks are computational models inspired by the organisation and function of biological neurons. They consist of layers of interconnected units (neurons), each computing a weighted sum of ...

Knowledge distillation is a paradigm in which a compact “student” network is trained to emulate the performance of a larger, more complex “teacher” network. By transferring dark knowledge—subtle ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

From image captioning and neural networks to Tesla Autopilot and OpenAI, Andrej Karpathy has helped shape modern AI research.

Stanford University’s Deep Learning for Computer Vision (XCS231N) is a 100% online, instructor-led course offered by the ...