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You're reading from  Hands-On Deep Learning with TensorFlow

Product typeBook
Published inJul 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781787282773
Edition1st Edition
Languages
Python
Tools
TensorFlowScikit-learn
Concepts
Deep Learning
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Author (1)
Dan Van Boxel
Dan Van Boxel
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Dan Van Boxel

Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.
Read more about Dan Van Boxel

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TensorFlow learn

Just as Scikit-Learn is a convenient interface to traditional machine learning algorithms, tf.contrib.learn (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/learn/python/learn), formerly known as skflow, it is a simplified interface to build and train DNNs. Now it comes free with every installation of TensorFlow!

Even if you're not a fan of the syntax, it's worth looking at TensorFlow Learn as the high-level API to TensorFlow. This is because it's currently the only officially supported one. But, you should know that there are many alternative high-level APIs that may have more intuitive interfaces. If interested, refer to Keras (https://keras.io/), tf.slim (included with TF), to learn more about TensorFlow-Slim refer to https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/slim or TFLearn (http://tflearn.org/).

Setup

To get started with TensorFlow Learn, you only need to import it. We'll also import the estimators function, which will...

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Hands-On Deep Learning with TensorFlow
Published in: Jul 2017Publisher: PacktISBN-13: 9781787282773
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Dan Van Boxel

Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.
Read more about Dan Van Boxel

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