You're reading from Python Machine Learning - Third Edition

Product typeBook

Published inDec 2019

Reading LevelExpert

PublisherPackt

ISBN-139781789955750

Edition3rd Edition

Languages

Python

Tools

TensorFlow Keras

Concepts

Machine Learning

Authors (2):

Sebastian Raschka

Vahid Mirjalili

View More author details

Implementing a deep CNN using TensorFlow

In Chapter 14, Going Deeper – The Mechanics of TensorFlow, you may recall that we used TensorFlow Estimators for handwritten digit recognition problems, using different API levels of TensorFlow. You may also recall that we achieved about 89 percent accuracy using the DNNClassifier Estimator with two hidden layers.

Now, let's implement a CNN and see whether it can achieve a better predictive performance compared to the MLP (DNNClassifier) for classifying handwritten digits. Note that the fully connected layers that we saw in Chapter 14, Going Deeper – The Mechanics of TensorFlow, were able to perform well on this problem. However, in some applications, such as reading bank account numbers from handwritten digits, even tiny mistakes can be very costly. Therefore, it is crucial to reduce this error as much as possible.

The multilayer CNN architecture

The architecture of the network that we are going to implement is shown...

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Python Machine Learning - Third Edition

Published in: Dec 2019Publisher: PacktISBN-13: 9781789955750

Authors (2)

Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.
Read more about Sebastian Raschka

Vahid Mirjalili

Vahid Mirjalili is a deep learning researcher focusing on CV applications. Vahid received a Ph.D. degree in both Mechanical Engineering and Computer Science from Michigan State University.
Read more about Vahid Mirjalili

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You're reading from Python Machine Learning - Third Edition

Implementing a deep CNN using TensorFlow

The multilayer CNN architecture

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Authors (2)

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