The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
iOS App and Architecture of Convolutional Neural Networks
Abstract
Deep convolutional neural networks (CNN) have attracted many attentions of researchers in the field of artificial intelligence. Based on several well-known architectures, more researchers and designers have joined the field of applying deep learning and devising a large number of CNNs for processing datasets of interesting. Equipped with modern audio, video, screen-touching components, and other sensors for online pattern recognition, the iOS mobile devices provide developers and users friendly testing and powerful computing environments. This chapter introduces the trend of developing pattern recognition CNN Apps on iOS devices and the neural organization of convolutional neural networks. Deep learning in Matlab and executing CNN models on iOS devices are introduced following the motivation of combining mathematical modelling and computation with neural architectures for developing pattern recognition iOS apps. This chapter also gives contexts of discussing typical hidden layers in the CNN architecture.
Related Content
Julián Sierra-Pérez, Joham Alvarez-Montoya.
© 2020.
40 pages.
|
Feyzan Saruhan-Ozdag, Derya Yiltas-Kaplan, Tolga Ensari.
© 2020.
18 pages.
|
Leonardo Juan Ramirez Lopez, Gabriel Alberto Puerta Aponte.
© 2020.
25 pages.
|
Jersson X. Leon-Medina, Maribel Anaya Vejar, Diego A. Tibaduiza.
© 2020.
25 pages.
|
Richard Isaac Abuabara, Felipe Díaz-Sánchez, Juliana Arevalo Herrera, Isabel Amigo.
© 2020.
22 pages.
|
Pragathi Penikalapati, A. Nagaraja Rao.
© 2020.
19 pages.
|
Nancy E. Ochoa Guevara, Andres Esteban Puerto Lara, Nelson F. Rosas Jimenez, Wilmar Calderón Torres, Laura M. Grisales García, Ángela M. Sánchez Ramos, Omar R. Moreno Cubides.
© 2020.
30 pages.
|
|
|