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Applied Deep Learning with Python

You're reading from   Applied Deep Learning with Python Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789804744
Length 334 pages
Edition 1st Edition
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Authors (2):
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Alex Galea Alex Galea
Author Profile Icon Alex Galea
Alex Galea
Luis Capelo Luis Capelo
Author Profile Icon Luis Capelo
Luis Capelo
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Summary

In this chapter, we have assembled a complete deep learning system: from data to prediction. The model created in this activity needs a number of improvements before it can be considered useful. However, it serves as a great starting point from which we will continuously improve.

Our next chapter will explore techniques for measuring the performance of our model and will continue to make modifications until we reach a model that is both useful and robust.

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