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DAY 27
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Google Developers Machine Learning

ML Study Jam Journey系列 第 27

Day 27 Art and Science of Machine Learning (cont.)

Custom Estimator

  • Modeling
  • Checkpointing
  • Memory size
  • Training, evaluating
  • Adjust hyper parameter

Keras Models

  • High-level deep neural networks library (supports multiple backends)
  • Fast prototyping

Constructs an Estimator instance from given keras model

  • keras.estimator.model_to_estimator()

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Day 26 Art and Science of Machine Learning (cont.)
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Day 28 Summary
系列文
ML Study Jam Journey30

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