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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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone, my name is Thomas Henson, and welcome to my course, Implementing Multi-layer Neural Networks with TFLearn. I'm a data engineering advocate in the big data analytics community, and I'm extremely excited to share this course with you on deep learning. deep learning is one of the hottest segments in the analytics field today because it touches so many different technologies, from automobiles that drive themselves to lifesaving medical research, and possibly colonizing Mars. Deep Learning is behind all these efforts. Think about that for a moment. Deep Learning is involved in the largest technological advancements on the planet, and trying to leave the planet. It's a great time to join the deep learning community, and TFLearn is a great way to start learning the building blocks of deep learning so you can build your first neural network. In this course, we're going to get experience implementing multi-layer neural networks with TFLearn. Some of the major topics that we will cover include why is deep learning at the heart of so much of this innovation, where does TFLearn fit in the TensorFlow Universe, basic deep learning technology that you'll need to know as machine learning engineers, and how to build convolutional neural networks with TFLearn. By the end of this course, you'll know how to get started building neural networks with TFLearn. Before beginning this course, you should be comfortable with coding in Python and basic data analytics concepts. I hope you'll join me on this journey to learn about deep learning with Implementing Multi-layer Neural Networks with TFLearn course here at Pluralsight.