The goal of the work is to create a method of intelligent image processing based on three-channel purely convolutional neural network.. To achieve the goal, the following tasks

Findings and analyses have led us to model an understanding of value creation as actualised enterprise lifelong learning capacity (ELLC) in which the affective dimension of HRPs

It is concluded that, at least in some cases, especially when the solution domain is large and when strong differences of site occupancies are observed between the different sites,

A convolutional neural network was selected over other classification methods as convolutional neural networks are the most frequently used method for image classification with

A quite successful neural network architecture in signal and image learning tasks is the Convolutional Neural Network (CNN) which can handle data processing objectives from image

Key words: convolutional neural network, long short-term memory, machine learning, text processing, social media.. R´

Keywords: natural language processing · dilated convolutional neural network · social interaction · word vectors · word embeddings · semantic- syntactic features · sentiment

Keywords: Deep Learning, Feedforward Neural Network, Convolutional Neural Network, Re- current Neural-Network, Long Short Term Memory, time

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

AI artificial intelligence, CNN convolutional neural network, DCNN deep convolutional neural network, PCa prostate cancer, AUC area under the curve, mpMRI multi-parametric

Recently, deep learning models such as deep belief network (DBN) [6], recurrent neural network (RNN) [7], and long short-term memory (LSTM) [8] have been used for traffic

We compared three main types of models: (i) a convolutional neural network trained on environmental variables extracted around the location of interest, (ii) a purely spatial

"Imagenet classification with deep convolutional neural networks".. In Advances in neural

We compared three main types of models: (i) a convolutional neural network trained on environmental variables extracted around the location of interest, (ii) a purely spatial

Keywords: online news processing, online clustering, sentiment anal- ysis, metagraph, TF-IDF, word mover’s distance, convolutional neural network, support vector machine..

Un algorithme est un moyen pour un humain de présenter la résolution par calcul d'un problème à une autre personne physique (un autre humain) ou virtuelle (un calculateur). En eet,

algorithme est un énoné dans un langage bien déni d'une suite. d'opérations permettant de résoudre par alul

Connaître les mots lefs d'un langage impératif simple.. Connaître les opérations de bases