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You're reading from  Python Machine Learning - Third Edition

Product typeBook
Published inDec 2019
Reading LevelExpert
PublisherPackt
ISBN-139781789955750
Edition3rd Edition
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Authors (2):
Sebastian Raschka
Sebastian Raschka
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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
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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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Building an NN model in TensorFlow

So far in this chapter, you have learned about the basic utility components of TensorFlow for manipulating tensors and organizing data into formats that we can iterate over during training. In this section, we will finally implement our first predictive model in TensorFlow. As TensorFlow is a bit more flexible but also more complex than machine learning libraries such as scikit-learn, we will start with a simple linear regression model.

The TensorFlow Keras API (tf.keras)

Keras is a high-level NN API and was originally developed to run on top of other libraries such as TensorFlow and Theano. Keras provides a user-friendly and modular programming interface that allows easy prototyping and the building of complex models in just a few lines of code. Keras can be installed independently from PyPI and then configured to use TensorFlow as its backend engine. Keras is tightly integrated into TensorFlow and its modules are accessible through tf.keras...

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Python Machine Learning - Third Edition
Published in: Dec 2019Publisher: PacktISBN-13: 9781789955750

Authors (2)

author image
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

author image
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