Amazon SageMaker Now Supports TensorFlow 2.0

You can now use this container on SageMaker, and take advantage of many advanced capabilities, such as building models using the SageMaker SDK in managed notebooks, hyperparameter tuning, and distributed training. You can also bring your own container for custom models by building off our base containers. Click here for more information on using TensorFlow with SageMaker, and here to see an example notebook of starting a job with Tensorflow 2.0.