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About A Fortran-Keras Deep Learning Bridge For Scientific Computing
The document describes a software library called the Fortran-Keras Bridge (FKB) that connects deep learning models built in Keras with programs written in Fortran. FKB allows deep learning methods developed in Python frameworks to be integrated into large-scale scientific computing projects written in Fortran. As an example, FKB is used to search over 100 neural network climate models initially built in Keras and transfer them for use in a Fortran-based global climate simulation code. This reveals relationships between how models perform during offline validation and online simulation when coupled to fluid dynamics that leads to improved climate model stability.
Detailed Information
| Author: | ['Logador'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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