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You're reading from  Hands-On Neural Networks with TensorFlow 2.0

Product typeBook
Published inSep 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789615555
Edition1st Edition
Languages
Python
Tools
TensorFlow
Concepts
Neural Networks
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Author (1)
Paolo Galeone
Paolo Galeone
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Paolo Galeone

Paolo Galeone is a computer engineer with strong practical experience. After getting his MSc degree, he joined the Computer Vision Laboratory at the University of Bologna, Italy, as a research fellow, where he improved his computer vision and machine learning knowledge working on a broad range of research topics. Currently, he leads the Computer Vision and Machine Learning laboratory at ZURU Tech, Italy. In 2019, Google recognized his expertise by awarding him the title of Google Developer Expert (GDE) in Machine Learning. As a GDE, he shares his passion for machine learning and the TensorFlow framework by blogging, speaking at conferences, contributing to open-source projects, and answering questions on Stack Overflow.
Read more about Paolo Galeone

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Summary

In this chapter, two of the most widely used high-level APIs were presented. tf.estimator and tf.data APIs have maintained almost the same structure they had in TensorFlow 1.x since they were designed with simplicity in mind.

The tf.data API, through tf.data.Dataset, allows you to define a high-efficiency data input pipeline by chaining transformations in an ETL fashion, using the method chaining paradigm. tf.data.Dataset objects are integrated with every part of TensorFlow, from eager execution to AutoGraph, passing through the training methods of Keras models and the Estimator API. The ETL process is made easy and the complexity is hidden.

TensorFlow Datasets is the preferred way of creating a new tf.data.Dataset object, and is the perfect tool to use when a machine learning model has been developed, and it is time to measure the performance on every publicly available...

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Hands-On Neural Networks with TensorFlow 2.0
Published in: Sep 2019Publisher: PacktISBN-13: 9781789615555
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Paolo Galeone

Paolo Galeone is a computer engineer with strong practical experience. After getting his MSc degree, he joined the Computer Vision Laboratory at the University of Bologna, Italy, as a research fellow, where he improved his computer vision and machine learning knowledge working on a broad range of research topics. Currently, he leads the Computer Vision and Machine Learning laboratory at ZURU Tech, Italy. In 2019, Google recognized his expertise by awarding him the title of Google Developer Expert (GDE) in Machine Learning. As a GDE, he shares his passion for machine learning and the TensorFlow framework by blogging, speaking at conferences, contributing to open-source projects, and answering questions on Stack Overflow.
Read more about Paolo Galeone

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