dyadxmachina/Applied-Deep-Learning-with-TensorFlow
Learn applied deep learning from zero to deployment using TensorFlow 1.8+
This project provides a comprehensive course to help machine learning engineers and technology architects understand and implement deep learning solutions. It takes you from foundational deep learning concepts using Keras and TensorFlow to deploying scalable models on Google Cloud AI Platform. The outcome is the ability to build and manage production-ready deep learning systems capable of analyzing large datasets efficiently.
162 stars. No commits in the last 6 months.
Use this if you are an intermediate machine learning engineer or architect seeking to scale out your deep learning models and deploy them on Google Cloud for production-level systems.
Not ideal if you are completely new to programming or deep learning concepts, as it assumes some prior knowledge in these areas.
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162
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Jupyter Notebook
License
MIT
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Last pushed
Jul 31, 2018
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