Results 341 to 350 of about 2,238,851 (367)
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2019
We report a number of experiments on a deep convolutional network in order to gain a better understanding of the transformations that emerge from learning at the various layers. We analyze the backward flow and the reconstructed images, using an adaptive masking approach in which pooling and nonlinearities at the various layers are represented by data ...
Palmieri F. +4 more
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We report a number of experiments on a deep convolutional network in order to gain a better understanding of the transformations that emerge from learning at the various layers. We analyze the backward flow and the reconstructed images, using an adaptive masking approach in which pooling and nonlinearities at the various layers are represented by data ...
Palmieri F. +4 more
openaire +2 more sources
A Reliability Analysis of a Deep Neural Network
2019 IEEE Latin American Test Symposium (LATS), 2019Deep Learning, and in particular its implementation using Convolutional Neural Networks (CNNs), is currently one of the most intensively and widely used predictive models for safety-critical applications like autonomous driving assistance on pedestrian, objects and structures recognition. Today, ensuring the reliability of these innovations is becoming
Bosio A. +3 more
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A deep neural network of light
Physics Today, 2017A new photonic device could enable faster, more energy-efficient machine learning. A new photonic device could enable faster, more energy-efficient machine learning.
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Deep Learning, Neural Networks
2018Deep learning is a special branch of machine learning using a collage of algorithms to model high-level data motifs. Deep learning resembles the biological communications of systems of brain neurons in the central nervous system (CNS), where synthetic graphs represent the CNS network as nodes/states and connections/edges between them.
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Genetic testing in prostate cancer management: Considerations informing primary care
Ca-A Cancer Journal for Clinicians, 2022Veda N Giri +2 more
exaly
A survey of deep neural network architectures and their applications
Neurocomputing, 2017Weibo Liu +5 more
semanticscholar +1 more source
SignalP 5.0 improves signal peptide predictions using deep neural networks
Nature Biotechnology, 2019J. J. Almagro Armenteros +7 more
semanticscholar +1 more source
Highly Conducting and Stretchable Double‐Network Hydrogel for Soft Bioelectronics
Advanced Materials, 2022Bryan Reimer, Yuan Zhang, Chuan Fei Guo
exaly
MicroRNAome genome: A treasure for cancer diagnosis and therapy
Ca-A Cancer Journal for Clinicians, 2014Ioana Berindan-neagoe +2 more
exaly