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ModelArts GA UMN 06052022 from R&D (#5) 
ModelArts GA UMN 06052022 from R&D

R&D provided a new version of the ModelArts User Manual in May 2022.
Depends-On: #11

Reviewed-by: Artem Goncharov <Artem.goncharov@gmail.com>
2022-05-23 08:19:57 +00:00

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Is the Keras Engine Supported?

Notebook instances in DevEnviron support the Keras engine. The Keras engine is not supported in job training and model deployment (inference).

Keras is an advanced neural network API written in Python. It is capable of running on top of TensorFlow, CNTK, or Theano. Notebook instances in DevEnviron support tf.keras.

How Do I View Keras Versions?

  1. On the ModelArts management console, create a notebook instance.
  2. Click the notebook instance name to go to the Jupyter page. On the right of the page, click New and select TensorFlow to create a notebook instance.
  3. In the notebook instance, run !pip list to view Keras versions.

    The following figure shows the Keras versions when Python3 and TensorFlow-1.8 are selected during notebook instance creation.

    Figure 1 Viewing Keras versions
Parent topic: Notebook