### 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 language | English |
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Title of host publication | Modeling and Optimization in Science and Technologies |

Publisher | Springer Verlag |

Pages | 57-67 |

Number of pages | 11 |

DOIs | |

Publication status | Published - Jan 1 2020 |

### Publication series

Name | Modeling and Optimization in Science and Technologies |
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Volume | 14 |

ISSN (Print) | 2196-7326 |

ISSN (Electronic) | 2196-7334 |

### Fingerprint

### ASJC Scopus subject areas

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

### Cite this

*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.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

*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

}

TY - CHAP

T1 - Getting started with TensorFlow deep learning

AU - Toleubay, Yeldar

AU - James Pappachen, Alex

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

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U2 - 10.1007/978-3-030-14524-8_4

DO - 10.1007/978-3-030-14524-8_4

M3 - Chapter

T3 - Modeling and Optimization in Science and Technologies

SP - 57

EP - 67

BT - Modeling and Optimization in Science and Technologies

PB - Springer Verlag

ER -