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Practical convolutional neural netwo...

Sewak, Mohit.

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Practical convolutional neural networks : = implement advanced deep learning models using Python /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Practical convolutional neural networks :/ Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari.
其他題名:	implement advanced deep learning models using Python /
作者:	Sewak, Mohit.
其他作者:	Karim, Rezaul.
出版者:	Birmingham, UK :Packt Publishing, : 2018.,
面頁冊數:	v, 203 p. :ill. ;24 cm.
內容註:	Table of Contents Deep Neural Networks -- Overview. Introduction to Convolutional Neural Networks Build Your First CNN and Performance Optimization Popular CNN Model's Architectures Transfer Learning Autoencoders for CNN Object Detection with CNN Generative Adversarial Network Visual Attention Based CNN.
標題:	Neural networks (Computer science) -
ISBN:	9781788392303

Practical convolutional neural networks : = implement advanced deep learning models using Python /
Sewak, Mohit.

Practical convolutional neural networks :implement advanced deep learning models using Python /Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari. - Birmingham, UK :Packt Publishing,2018. - v, 203 p. :ill. ;24 cm.

Includes bibliographical references and index.

Table of Contents Deep Neural Networks -- Overview. Introduction to Convolutional Neural Networks Build Your First CNN and Performance Optimization Popular CNN Model's Architectures Transfer Learning Autoencoders for CNN Object Detection with CNN Generative Adversarial Network Visual Attention Based CNN.

ISBN: 9781788392303US34.99Subjects--Topical Terms:

532070
Neural networks (Computer science)

LC Class. No.: QA76.87

Practical convolutional neural networks : = implement advanced deep learning models using Python /
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020 $a 9781788392303 $q (pbk.) : $c US34.99
040 $a UMI $b eng $c UMI $d NLE $d STF $d OCLCF $d OH1
050 4 $a QA76.87
100 1 $a Sewak, Mohit. $3 3271956
245 1 0 $a Practical convolutional neural networks : $b implement advanced deep learning models using Python / $c Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari.
260 $a Birmingham, UK : $b Packt Publishing, $c 2018.
300 $a v, 203 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a Table of Contents Deep Neural Networks -- Overview. Introduction to Convolutional Neural Networks Build Your First CNN and Performance Optimization Popular CNN Model's Architectures Transfer Learning Autoencoders for CNN Object Detection with CNN Generative Adversarial Network Visual Attention Based CNN.
650 0 $a Neural networks (Computer science) $3 532070
650 0 $a Computer vision. $3 540671
650 0 $a Machine learning. $3 533906
650 0 $a Python (Computer program language) $3 729789
700 1 $a Karim, Rezaul. $3 3271957
700 1 $a Pujari, Pradeep. $3 3271958