|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
OR_on1030304642 |
003 |
OCoLC |
005 |
20231017213018.0 |
006 |
m o d |
007 |
cr unu|||||||| |
008 |
180403s2018 enka ob 000 0 eng d |
040 |
|
|
|a UMI
|b eng
|e rda
|e pn
|c UMI
|d NLE
|d STF
|d OCLCF
|d TOH
|d CEF
|d KSU
|d DEBBG
|d G3B
|d S9I
|d UAB
|d SFB
|d UKMGB
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|
015 |
|
|
|a GBC1L5087
|2 bnb
|
016 |
7 |
|
|a 018815395
|2 Uk
|
020 |
|
|
|a 9781788394147
|q (Electronic book (EPUB format)
|
020 |
|
|
|a 1788394143
|q (Electronic book (EPUB format)
|
020 |
|
|
|z 9781788392303
|q (print)
|
029 |
1 |
|
|a UKMGB
|b 018815395
|
035 |
|
|
|a (OCoLC)1030304642
|
037 |
|
|
|a CL0500000952
|b Safari Books Online
|
050 |
|
4 |
|a QA76.87
|
082 |
0 |
4 |
|a 006.32
|2 23
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Sewak, Mohit,
|e author.
|
245 |
1 |
0 |
|a Practical convolutional neural networks :
|b implement advanced deep learning models using Python /
|c Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari.
|
264 |
|
1 |
|a Birmingham, UK :
|b Packt Publishing,
|c 2018.
|
300 |
|
|
|a 1 online resource (1 volume) :
|b illustrations
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a data file
|
588 |
0 |
|
|a Online resource; title from title page (viewed April 2, 2018).
|
504 |
|
|
|a Includes bibliographical references.
|
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.
|
590 |
|
|
|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Neural networks (Computer science)
|
650 |
|
0 |
|a Computer vision.
|
650 |
|
0 |
|a Machine learning.
|
650 |
|
0 |
|a Python (Computer program language)
|
650 |
|
6 |
|a Réseaux neuronaux (Informatique)
|
650 |
|
6 |
|a Vision par ordinateur.
|
650 |
|
6 |
|a Apprentissage automatique.
|
650 |
|
6 |
|a Python (Langage de programmation)
|
650 |
|
7 |
|a Information technology: general issues.
|2 bicssc
|
650 |
|
7 |
|a Artificial intelligence.
|2 bicssc
|
650 |
|
7 |
|a Computers
|x Intelligence (AI) & Semantics.
|2 bisacsh
|
650 |
|
7 |
|a Computers
|x Information Technology.
|2 bisacsh
|
650 |
|
7 |
|a Computers
|x Image Processing.
|2 bisacsh
|
650 |
|
7 |
|a Computer vision
|2 fast
|
650 |
|
7 |
|a Machine learning
|2 fast
|
650 |
|
7 |
|a Neural networks (Computer science)
|2 fast
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|
700 |
1 |
|
|a Karim, Rezaul,
|e author.
|
700 |
1 |
|
|a Pujari, Pradeep,
|e author.
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781788392303/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
|
|
|a 92
|b IZTAP
|