Real-time IoT imaging with deep neural networks : using Java on the Raspberry Pi 4

Main Author: Modrzyk, Nicolas
Subjects:
Online Access: http://library.unisel.edu.my/web/guest/mylibrary
LEADER 01003cam a2200253 7i4500
001 0000065960
005 20220127090000.0
020 |a 9781484257227 (electronic book)  
090 0 0 |a QA76.87   |b .M63 2020 
100 1 |a Modrzyk, Nicolas  
245 1 0 |a Real-time IoT imaging with deep neural networks :   |b using Java on the Raspberry Pi 4   |c Nicolas Modrzyk. 
264 |a [Place of publication not identified]:   |b Apress,   |c 2020. 
300 |a 1 online resource (xxi, 224 pages):   |b illustrations, text file, PDF. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
650 0 |a Raspberry Pi (Computer)  
650 0 |a Image processing  
650 0 |a Neural networks (Computer science)  
655 0 |a Electronic books 
856 4 2 |u http://library.unisel.edu.my/web/guest/mylibrary 
997 |a Communication, Visual Art & Computing, Faculty  |b Computing, Department 
998 |a Computer Science, Degree 
999 |a EBO0010540  |b EBOOK  |c EBOOK  |e Electronic resources