Results 151 to 160 of about 9,085,112 (391)
One weird trick for parallelizing convolutional neural networks [PDF]
arXiv, 2014 I present a new way to parallelize the training of convolutional neural networks across multiple GPUs. The method scales significantly better than all alternatives when applied to modern convolutional neural networks.
arxiv
Backward masking, disinhibition, and hypothesized neural networks [PDF]
, 1971 Daniel N. Robinson
openalex +1 more source
, 2018 We present N2Net, a system that implements binary neural networks using commodity switching chips deployed in network switches and routers. Our system shows that these devices can run simple neural network models, whose input is encoded in the network packets' header, at packet processing speeds (billions of packets per second).
Siracusano, Giuseppe, Bifulco, Roberto
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT C‐truncating variants in the charged multivesicular body protein 2B (CHMP2B) gene are a rare cause of frontotemporal lobar degeneration (FTLD), previously identified only in Denmark, Belgium, and China. We report a novel CHMP2B splice‐site variant (c.35‐1G>A) associated with familial FTLD in Spain. The cases were two monozygotic male twins who
Sara Rubio‐Guerra +17 more
wiley +1 more source
Machine Learning with Applications, 2021 Modular neural network overcomes the problem of monolithic structures of artificial neural networks. Generally modular neural network is an integration of smaller sub complete neural network models.
Manu Pratap Singh, Gunjan Singh
doaj
Geometric Decomposition of Feed Forward Neural Networks [PDF]
arXiv, 2016 There have been several attempts to mathematically understand neural networks and many more from biological and computational perspectives. The field has exploded in the last decade, yet neural networks are still treated much like a black box. In this work we describe a structure that is inherent to a feed forward neural network.
arxiv
Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar +7 more
wiley +1 more source
Recognition of Internal Overvoltage in Distribution Network Based on Convolutional Neural Network
Electrica, 2022 Fei Long +5 more
doaj +1 more source
Hybrid Quantum-Classical Neural Networks for Downlink Beamforming Optimization [PDF]
arXivThis paper investigates quantum machine learning to optimize the beamforming in a multiuser multiple-input single-output downlink system. We aim to combine the power of quantum neural networks and the success of classical deep neural networks to enhance the learning performance.
arxiv