SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
© 2020 Elsevier B.V. In this paper, we introduce SciANN, a Python package for scientific computing and physics-informed deep learning using artificial neural networks. SciANN uses the widely used deep-learning packages TensorFlow and Keras to build deep neural networks and optimization models, thus...
Main Authors: | Haghighat, Ehsan, Juanes, Ruben |
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Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2021
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Online Access: | https://hdl.handle.net/1721.1/133000 |
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