Course Summary

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Получаемые навыки

Machine Learning, Python Programming, Build Input Data Pipeline, Tensorflow, keras

Рецензии

4.4 (2,589 ratings)

  • 5 stars
    61,60 %
  • 4 stars
    25,37 %
  • 3 stars
    8,99 %
  • 2 stars
    2,51 %
  • 1 star
    1,50 %

DW

16 окт. 2018 г.

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pretty good. some of the code in the last lab could be better explained. also please debug the cloud shell, as it does not always show the "web preview" button ;) otherwise, good job!

SS

5 июня 2018 г.

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Nice introduce, might be more on introduce the model structure, because I still need to read additional notes to locate how to train my deep learning model online.

Из урока

Summary

Here we summarize the TensorFlow topics we covered so far in this course. We'll revisit core TensorFlow code, the tf.data API, Keras Sequential and Functional APIs and end with scaling your machine learning models with Cloud AI Platform.

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