Scaling up Keras with Estimators

Опубликовано 5 сентября 2018, 21:19

When you convert a Keras model to a TensorFlow Estimator, you get the best of both worlds: easy to read Keras model syntax along with distributed training with TensorFlow. In this episode of AI Adventures, Yufeng shows you how to scale up a Keras model with estimators so that it can run larger datasets or across many machines. Plus, it makes it easy to do model serving once the training is complete!

Blog post → bit.ly/2oLgjnc

Kaggle Notebook → bit.ly/2oIWlcH

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