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Project - Stanford University
WebCS 231N: Convolutional Neural Networks for Visual Recognition Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification and object detection. http://vision.stanford.edu/teaching/cs231n-demos/linear-classify/ grand gardens north hours
CS231n Lecture 4: backpropagation and Neural Networks
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