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Tensorflow and Keras Programming for Deep Learning

Authors :
Taesam Lee
Kyung Hwa Cho
Vijay P. Singh
Source :
Deep Learning for Hydrometeorology and Environmental Science ISBN: 9783030647766
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

Tensorflow is an end-to-end open-source platform for machine learning containing a comprehensive, flexible ecosystem of tools, libraries, and community resources (https://www.tensorflow.org/). It provides multiple levels of abstractions to choose the right one. The high-level Keras API can be used to build and train models by easily getting started with Tensorflow. Keras allows employing Tensorflow without losing its flexibility and capability. In the following, two applications (i.e., temporal and spatial deep learning) are presented to illustrate how to use Keras with python.

Details

ISBN :
978-3-030-64776-6
ISBNs :
9783030647766
Database :
OpenAIRE
Journal :
Deep Learning for Hydrometeorology and Environmental Science ISBN: 9783030647766
Accession number :
edsair.doi...........d9934ae462db9bd3e58ad282482950b9
Full Text :
https://doi.org/10.1007/978-3-030-64777-3_11