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You're reading from  TensorFlow 2.0 Quick Start Guide

Product typeBook
Published inMar 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789530759
Edition1st Edition
Languages
Python
Tools
TensorFlow
Concepts
Machine Learning
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Author (1)
Tony Holdroyd
Tony Holdroyd
author image
Tony Holdroyd

Tony Holdroyd's first degree, from Durham University, was in maths and physics. He also has technical qualifications, including MCSD, MCSD.net, and SCJP. He holds an MSc in computer science from London University. He was a senior lecturer in computer science and maths in further education, designing and delivering programming courses in many languages, including C, C+, Java, C#, and SQL. His passion for neural networks stems from research he did for his MSc thesis. He has developed numerous machine learning, neural network, and deep learning applications, and has advised in the media industry on deep learning as applied to image and music processing. Tony lives in Gravesend, Kent, UK, with his wife, Sue McCreeth, who is a renowned musician.
Read more about Tony Holdroyd

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Neural network processing modes

The following diagram illustrates the variety of neural network processing modes:

Rectangles represent tensors, arrows represent functions, red is input, blue is output, and green is the tensor state.

From left to right, we have the following:

  • Plain feed-forward network, fixed-size input, and fixed-size output, for example, image classification
  • Sequence output, for example, image captioning that takes one image and outputs a set of words identifying items in the image
  • Sequence input, for example, sentiment identification (like our IMDb application) where a sentence is classed as being of positive or negative sentiment
  • Both sequence input and output, for example, machine translation where an RNN takes an English sentence and translates it into a French output
  • Synced sequence both input and output, for example, video classification that is like...
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TensorFlow 2.0 Quick Start Guide
Published in: Mar 2019Publisher: PacktISBN-13: 9781789530759
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Tony Holdroyd

Tony Holdroyd's first degree, from Durham University, was in maths and physics. He also has technical qualifications, including MCSD, MCSD.net, and SCJP. He holds an MSc in computer science from London University. He was a senior lecturer in computer science and maths in further education, designing and delivering programming courses in many languages, including C, C+, Java, C#, and SQL. His passion for neural networks stems from research he did for his MSc thesis. He has developed numerous machine learning, neural network, and deep learning applications, and has advised in the media industry on deep learning as applied to image and music processing. Tony lives in Gravesend, Kent, UK, with his wife, Sue McCreeth, who is a renowned musician.
Read more about Tony Holdroyd

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