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A method for designing neural networks optimally suited for certain tasks

MIT researchers find neural networks can be designed so they minimize the probability of misclassifying data input. To create a neural network that can achieve optimal performance on any dataset, one must use a specific building block, known as an activation function, in the network’s architecture.
United States Caroline Uhler Mikhail Belkin Adityanarayanan Radhakrishnan Department Of Electrical Engineering Proceedings Of The National Academy Sciences
Source: mit.edu

Autonomous Surveillance of Infants' Needs Using CNN Model for Audio Cry Classification

Infants portray suggestive unique cries while sick, having belly pain, discomfort, tiredness, attention and desire for a change of diapers among other needs. There exists limited knowledge in accessing the infants’ needs as they only relay information through suggestive cries. Many teenagers tend to give birth at an early age, thereby exposing them to be the key monitors of their own babies. They tend not to have sufficient skills in monitoring the infant’s dire needs, more so during the ear...
Google Gpus Convolution Neural Networks Summary Of Research Gaps Convolutional Neural Network Model Training Reservoir Network Convolution Neural Network Deep Learning Model
Source: scirp.org

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