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doc-exports/docs/modelarts/umn/modelarts_05_0042.html
Lai, Weijian 4e4b2d5f6d ModelArts UMN 23.3.0 Version. 
Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com>
Co-authored-by: Lai, Weijian <laiweijian4@huawei.com>
Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
2024-06-26 07:03:02 +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 with image TensorFlow-1.13 or TensorFlow-1.15.
  2. Access the notebook instance. In JupyterLab, run !pip list to view Keras versions.
    Figure 1 Viewing Keras versions
Parent topic: Constraints