id
	15447
Url
	https://chloe.cnr.it/s/BiDiAr/item/15447
Resource template
	Conference Paper
Resource class
	fabio:ConferencePaper
Title
	Image Classification Using TensorFlow
Creator
	Seetala, Kiran
	Birdsong, William
	Reddy, Yenumula B.
Publisher
	Springer International Publishing
Date
	2019
Language
	eng
Abstract
	Deep learning (DL) is a process that consists of a set of methods which classifies the raw data into meaningful information fed into the machine. DL performs classification tasks directly from sound, text, and images. One of the famous algorithms for classification of images in DL is convolutional neural networks (CNN). In this research, we tested DL model for image recognition using TensorFlow from Dockers software. We received 99% accurate to identify the test image. The system configuration used for this research includes Ubuntu 16.04, Python 2.7, TensorFlow 1.9, and Google image set (Fatkun Batch Download Image: Google, Google, chrome.google.com/webstore/detail/fatkun-batch-download-ima/nnjjahlikiabnchcpehcpkdeckfgnohf).
Is Part Of
	16th International Conference on Information Technology-New Generations (ITNG 2019)
Spatial Coverage
	Cham
Editor
	Latifi, Shahram
Doi
	https://doi.org/10.1007/978-3-030-14070-0_67
Isbn
	978-3-030-14070-0
Pages
	485-488
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/CDFDY6L8/item-list
In series
	Advances in Intelligent Systems and Computing

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