GitHub - christianramsey/Tensorflow-for-Distributed-Deep-Learning: TensorFlow (1.8+) Datasets, Feature Columns, Estimators and Distributed Training using Google Cloud Machine Learning Engine

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TensorFlow (1.8+) Datasets, Feature Columns, Estimators and Distributed Training using Google Cloud Machine Learning Engine

dyadxmachina.com

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Applied Deep Learning with TensorFlow and Google Cloud AI

You can find the final version here > https://github.com/dyadxmachina/Distributed-Deep-Learning-with-Tensorflow

My code for our upcoming course with Packt Publishing titled Applied Deep Learning with TensorFlow and Google Cloud AI which covers Input Pipelines, Feature Engineering, Distributed Training and Inference using TensorFlow and Google Cloud AI Tools.

TOC and much more code commenting and clarity coming soon.

Code uses most-up-to-date TensorFlow patterns including the Datasets API, feature columns, and Google Cloud Machine Learning Engine's core training, hyperparameter tuning, and inference features.

Should be released mid-April (Supports TensorFlow 1.8+)

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TensorFlow (1.8+) Datasets, Feature Columns, Estimators and Distributed Training using Google Cloud Machine Learning Engine

dyadxmachina.com

machine-learning cloud deep-learning tensorflow inference neural-networks distributed-deep-learning

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