Tensorflow and Keras Programming for Deep Learning

  • Lee T
  • Singh V
  • Cho K
N/ACitations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Lee, T., Singh, V. P., & Cho, K. H. (2021). Tensorflow and Keras Programming for Deep Learning (pp. 151–162). https://doi.org/10.1007/978-3-030-64777-3_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free