Getting started with TensorFlow deep learning

Yeldar Toleubay, Alex James Pappachen

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

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

ASJC Scopus subject areas

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

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