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Practical Convolutional Neural Networks
book

Practical Convolutional Neural Networks

by Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari
February 2018
Intermediate to advanced
218 pages
5h 31m
English
Packt Publishing
Content preview from Practical Convolutional Neural Networks

Introduction to ImageNet

ImageNet is a database of over 15 million hand-labeled, high-resolution images in roughly 22,000 categories. This database is organized just like the WordNet hierarchy, where each concept is also called a synset (that is, synonym set). Each synset is a node in the ImageNet hierarchy. Each node has more than 500 images. 

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) was founded in 2010 to improve state-of-the-art technology for object detection and image classification on a large scale:

Following this overview of ImageNet, we will now take a look at various CNN model architectures.

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Publisher Resources

ISBN: 9781788392303