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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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Relearning the framework

As we introduced in Chapter 3, TensorFlow Graph Architecture, TensorFlow works by building a computational graph first and then executing it. In TensorFlow 2.0, this graph definition is hidden and simplified; the execution and the definition can be mixed, and the flow of execution is always the one that's found in the source code—there's no need to worry about the order of execution in 2.0.

Prior to the 2.0 release, developers had to design the graph and the source by following this pattern:

  • How can I define the graph? Is my graph composed of multiple layers that are logically separated? If so, I have to define every logical block inside a different tf.variable_scope.
  • During the training or inference phase, do I have to use a part of the graph more than once in the same execution step? If so, I have to define this part by wrapping it...
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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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