ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · 2012

AlexNet. The paper that kicked off the modern deep-learning era in computer vision by winning ImageNet 2012 with a convolutional neural network trained on GPUs.

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What you'll get

Outline: a plain-English breakdown of the paper's core idea, prerequisites, and the concepts you'll need to implement it.
Exercises: five to ten hands-on tasks, each with a concept card, a prompt, a starter code stub, and a collapsible reference solution.
Runnable notebook: a single .ipynb you can download and open in Jupyter or VS Code to work through every exercise.
Extensions: suggested follow-up experiments so you don't stop at a faithful reimplementation.