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Build TensorFlow Input Pipelines

Authors :
David Paper
Source :
State-of-the-Art Deep Learning Models in TensorFlow ISBN: 9781484273401
Publication Year :
2021
Publisher :
Apress, 2021.

Abstract

We introduce you to TensorFlow input pipelines with the tf.data API, which enables you to build complex input pipelines from simple, reusable pieces. Input pipelines are the lifeblood of any deep learning experiment because learning models expect data in a TensorFlow consumable form. It is very easy to create high-performance pipelines with the tf.data.Dataset abstraction (a component of the tf.data API) because it represents a sequence of elements from a dataset in a simple format.

Details

ISBN :
978-1-4842-7340-1
ISBNs :
9781484273401
Database :
OpenAIRE
Journal :
State-of-the-Art Deep Learning Models in TensorFlow ISBN: 9781484273401
Accession number :
edsair.doi...........45ea99e6f616743a08ce7af8b02dcde1