Getting started with TensorFlow deep learning

Yeldar Toleubay, Alex James Pappachen

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

TensorFlow is an open-source software Python-based library developed by Google. It has high popularity in machine learning and deep learning area due to its simplicity, flexibility, and compatibility. In this chapter, we introduce the basic syntax of the TensorFlow and its main operations required to construct an artificial neural network. We briefly introduce the codes for building a recurrent neural network and convolutional neural network for example of MNIST based handwritten digits classification problem.

Original languageEnglish
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer Verlag
Pages57-67
Number of pages11
DOIs
Publication statusPublished - Jan 1 2020

Publication series

NameModeling and Optimization in Science and Technologies
Volume14
ISSN (Print)2196-7326
ISSN (Electronic)2196-7334

Fingerprint

Boidae
Python
Open Source Software
Recurrent Neural Networks
Digit
Classification Problems
Compatibility
Libraries
Artificial Neural Network
Simplicity
Machine Learning
Software
Flexibility
Learning
Neural Networks
Neural networks
Recurrent neural networks
Learning systems
Syntax
Deep learning

ASJC Scopus subject areas

  • Modelling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics

Cite this

Toleubay, Y., & James Pappachen, A. (2020). Getting started with TensorFlow deep learning. In Modeling and Optimization in Science and Technologies (pp. 57-67). (Modeling and Optimization in Science and Technologies; Vol. 14). Springer Verlag. https://doi.org/10.1007/978-3-030-14524-8_4

Getting started with TensorFlow deep learning. / Toleubay, Yeldar; James Pappachen, Alex.

Modeling and Optimization in Science and Technologies. Springer Verlag, 2020. p. 57-67 (Modeling and Optimization in Science and Technologies; Vol. 14).

Research output: Chapter in Book/Report/Conference proceedingChapter

Toleubay, Y & James Pappachen, A 2020, Getting started with TensorFlow deep learning. in Modeling and Optimization in Science and Technologies. Modeling and Optimization in Science and Technologies, vol. 14, Springer Verlag, pp. 57-67. https://doi.org/10.1007/978-3-030-14524-8_4
Toleubay Y, James Pappachen A. Getting started with TensorFlow deep learning. In Modeling and Optimization in Science and Technologies. Springer Verlag. 2020. p. 57-67. (Modeling and Optimization in Science and Technologies). https://doi.org/10.1007/978-3-030-14524-8_4
Toleubay, Yeldar ; James Pappachen, Alex. / Getting started with TensorFlow deep learning. Modeling and Optimization in Science and Technologies. Springer Verlag, 2020. pp. 57-67 (Modeling and Optimization in Science and Technologies).
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