Not exact matches
«This applies to any deep - learning architecture, and the technique
scales sublinearly, which means that the larger the deep
neural network to which this is applied, the more the savings in computations there will be,» said lead researcher Anshumali Shrivastava, an assistant professor
of computer science at Rice.
(c) Equivalent output
of the new «Mixed -
Scale Dense Convolution
Neural Network» algorithm with 100 layers.
During development, the healthy human brain constructs a host
of large -
scale, distributed, function - critical
neural networks.
Until now, very few developers have been able to build, deploy, and broadly
scale apps with AI capabilities because doing so required access to vast amounts
of data, and specialized expertise in machine learning and
neural networks.
One year (August 1998ï ¿ 1/2 July 1999)
of tropical rainfall estimates from the Precipitation Estimation from Remotely Sensed Information using Artificial
Neural Networks (PERSIANN) system were used to produce monthly means
of rainfall diurnal cycles at hourly and 1ï ¿ 1/2 ï ¿ 1/2 1ï ¿ 1/2
scales over a domain (30ï ¿ 1/2 Sï ¿ 1/2 30ï ¿ 1/2 N, 80ï ¿ 1/2 Eï ¿ 1/2 10ï ¿ 1/2 W) from the Americas across the Pacific Ocean to Australia and eastern Asia.
Different approaches have been used to compute the mean rate
of 20th century global mean sea level (GMSL) rise from the available tide gauge data: computing average rates from only very long, nearly continuous records; using more numerous but shorter records and filters to separate nonlinear trends from decadal -
scale quasi-periodic variability;
neural network methods; computing regional sea level for specific basins then averaging; or projecting tide gauge records onto empirical orthogonal functions (EOFs) computed from modern altimetry or EOFs from ocean models.