Deep learning has already revolutionized machine learning research, but it remains out of reach for many developers. However, tools already exist today that enable leading-edge machine learning for many problem domains. TensorFlow, an open source machine learning library with a full Python interface, has become the most popular machine learning library on GitHub, and the community around it is growing rapidly.
Yufeng Guo leads an adventure to build a machine learning model using TensorFlow that combines the benefits of linear models with deep neural networks. You’ll also learn what is happening under the hood and how to use this model for your own datasets. Yufeng walks you through a practical approach for doing ML on structured data, in the process, demystifying machine learning.
Note: This is not an introduction to machine learning; nor is it an introduction to TensorFlow.
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