Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Hoeiness, Henrik"'
Autor:
Hoeiness, Henrik, Gjerde, Kristoffer, Oggiano, Luca, Giljarhus, Knut Erik Teigen, Ruocco, Massimiliano
Approximating wind flows using computational fluid dynamics (CFD) methods can be time-consuming. Creating a tool for interactively designing prototypes while observing the wind flow change requires simpler models to simulate faster. Instead of runnin
Externí odkaz:
http://arxiv.org/abs/2112.08447
Publikováno v:
Peer-reviewed by and presented at ICPR 2020
In this article, we present an extension of the Tensorflow Playground, called Tensorflow Meter (short TFMeter). TFMeter is an interactive neural network architecting tool that allows the visual creation of different architectures of neural networks.
Externí odkaz:
http://arxiv.org/abs/2101.04141