July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Understanding AlexNet
AlexNet is a classic and powerful deep learning architecture. It won the ILSVRC 2012 by significantly reducing the error rate from 26% to 15.3%. ILSVRC stands for ImageNet Large Scale Visual Recognition Competition, which is one of the biggest competitions focused on computer vision tasks, such as image classification, localization, object detection, and more. ImageNet is a huge dataset containing over 15 million labeled, high-resolution images, with over 22,000 categories. Every year, researchers compete to win the competition using innovative architecture.
AlexNet was designed by pioneering scientists, including Alex Krizhevsky, Geoffrey Hinton, and Ilya Sutskever. It consists of five convolutional layers and three ...
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