April 28 webinar: SciANN: A TensorFlow API for scientific computations with neural networks

[announce at designsafe-ci.org]

*Webinar: A TensorFlow API for scientific computations with neural networks*

*April 28, 2021 | 1:00pm - 2:00pm CT*

Over the past decade, artificial neural networks, also known as deep
learning, have revolutionized many computational tasks, including image
classification and computer vision, search engines and recommender systems,
speech recognition, autonomous driving, and healthcare. Even more recently,
this data-driven framework has made inroads in engineering and scientific
applications, such as earthquake detection, fluid mechanics and turbulence
modeling, dynamical systems, and constitutive modeling.

In the first part of this presentation, learn about the application of deep
learning, as a unified framework, for scientific computations including
curve fitting and regression, solving ordinary and partial differential
equations, and model inversion and calibration. Then get an introduction to
SciANN, a TensorFlow API designed to perform such operations efficiently.
In the second part of the presentation, we will perform a live hands-on
tutorial of SciANN using the DesignSafe system.

Dr. Ehsan Haghighat is a Mitacs Postdoctoral Fellow at the University of
British Columbia studying stochastic modeling and uncertainty
quantification of engineering systems, and a Simulation Consultant for
Seismix Reservoir Management LLC.

*Webinar details and registration:
https://www.designsafe-ci.org/learning-center/training/webinars/ds/2021/sciann/
<https://www.designsafe-ci.org/learning-center/training/webinars/ds/2021/sciann/>*
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