MATLAB Deep Learning

With Machine Learning, Neural Networks and Artificial Intelligence

Éditeur :

Apress

Paru le : 2017-06-15

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MA...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
62,11
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos

Auteur

Éditeur

Collection
n.c

Parution
2017-06-15

Pages
151 pages

EAN papier
9781484228449

Auteur(s) du livre


Phil Kim, PhD is an experienced MATLAB programmer and user.  He also works with algorithms of large data sets drawn from AI, machine learning.  He has worked at Korea Aerospace Research Institute as a Senior Researcher. There, his main task was to develop autonomous flight algorithm and onboard software for unmanned aerial vehicle. An on-screen keyboard program named 'Clickey' was developed by him during his period in PhD program and served as a bridge to bring the author currently to his current assignment as a Senior Research Officer at National Rehabilitation Research Institute of Korea.

Caractéristiques détaillées - droits

EAN PDF
9781484228456
Prix
62,11 €
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
3758 Ko
EAN EPUB
9781484228456
Prix
62,11 €
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
1915 Ko

Suggestions personnalisées