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  • artificial neural n
  • Classifying attended talker from EEG using artificial neural networks. (ens.fr)
  • Automatic text classification is usually done by using a prelabeled training set and applying various machine learning methods such as naive Bayes, support vector machines, artificial neural networks, or hybrid approaches that combine various machine learning methods to improve the efficiency of classification. (meta-guide.com)
  • Deep learning (also known as deep structured learning or hierarchical learning ) is part of a broader family of machine learning methods based on artificial neural networks. (rug.nl)
  • Artificial Neural Networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. (rug.nl)
  • Most modern deep learning models are based on artificial neural networks, specifically, Convolutional Neural Networks (CNN)s, although they can also include propositional formulas or latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep Boltzmann machines . (rug.nl)
  • 2018
  • article{broniatowski:2018a, title = {Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate}, author = {David A Broniatowski and Amelia M Jamison and SiHua Qi and Lulwah AlKulaib and Tao Chen and Adrian Benton and Sandra C Quinn and Mark Dredze}, year = {2018}, date = {2018-01-01}, journal = {American Journal of Public Health (AJPH)}, abstract = {Objectives. (jhu.edu)
  • article{li2018recurrent, title = {Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition}, author = {Ke Li and Hainan Xu and Yiming Wang and Daniel Povey and Sanjeev Khudanpur}, year = {2018}, date = {2018-01-01}, journal = {Proc. (jhu.edu)
  • Learning
  • In deep learning, each level learns to transform its input data into a slightly more abstract and composite representation. (rug.nl)
  • output
  • For a feedforward neural network , the depth of the CAPs is that of the network and is the number of hidden layers plus one (as the output layer is also parameterized). (rug.nl)