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In this episode, I focus on TensorFlow 2.0, the most popular open source library for Machine Learning. I explain in detail how it differs from TensorFlow 1.x, and how you can start using it on AWS: Deep Learning AMIs, Deep Learning Containers, and Amazon SageMaker.

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Additional resources:
* TensorFlow on AWS: https://aws.amazon.com/tensorflow
* My SageMaker notebook: https://gitlab.com/juliensimon/dlnotebooks/tree/master/keras/07-keras-fmnist-tf20
* A notebook giving you an overview of TensorFlow 2.0, by François Chollet, the creator of Keras: https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO

This podcast is also available in video: https://www.youtube.com/watch?v=Kqd7__Yllr0

For more content, follow me at https://medium.com/@julsimon and at https://twitter.com/julsimon.

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