Implementing Multi-layer Neural Networks with TFLearn

Deep learning is one of the hottest topics for machine learning engineers. In this course, you'll quickly jump into building your first neural network using TFLearn on top of Tensorflow.
Course info
Level
Intermediate
Updated
Jan 23, 2019
Duration
2h 9m
Table of contents
Description
Course info
Level
Intermediate
Updated
Jan 23, 2019
Duration
2h 9m
Description

TFLearn offers machine learning engineers the ability to build Tensorflow neural networks with minimal use of coding. In this course, Implementing Multi-layer Neural Networks with TFLearn, you’ll learn foundational knowledge and gain the ability to build Tensorflow neural networks. First, you’ll explore how deep learning is used to accelerate artificial intelligence. Next, you’ll discover how to build convolutional neural networks. Finally, you’ll learn how to deploy both deep and generative neural networks. When you’re finished with this course, you’ll have the skills and knowledge of deep learning needed to build the next generation of artificial intelligence.

About the author
About the author

Thomas is a Senior Software Engineer and Certified ScrumMaster. He spends most of his time working with the Hortonwork Data Platform and Agile Coaching.

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