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Backpropagation and Neural Networks I

Andrej Karpathy Stanford University

Lecturer, Computer Science

1:19:39·2016·graduate level·Standalone Lecture

An foundational exposition on the backpropagation algorithm and the initial principles of neural network architecture, delivered as part of Stanford's CS231n course.

AI & ML Deep Learning Algorithms & Data Structures Convex Optimization neural networks

Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture 4.

Get in touch on Twitter @cs231n, or on Reddit /r/cs231n.

Referenced inHacker News

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