In order to work with gradients and straight lines successfully, a good understanding of coordinates and linear graphs is needed. The gradient of a line is calculated by dividing the difference in the ...
Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...
The hardest part of working out consistently? Getting started. Once you do, though, you start feeling (and soon, seeing!) the positive impact on your mind and body. But with so many workout options ...
Training very deep neural networks requires a lot of memory. Using the tools in this package, developed jointly by Tim Salimans and Yaroslav Bulatov, you can trade off some of this memory usage with ...
Abstract: Environmental and energy security concerns lead to the continuous displacement of traditional fossil fuel-based power generation to power electronics interfaced distributed generations (DGs) ...
This repository contains a user material implementation for Abaqus (UMAT and UMATHT) for a thermo-mechanically coupled gradient-enhanced damage model. The framework can be adopted to several ...
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