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The ability to run deep learning in the browser at production-level performance enables a huge range of new applications. We've only scratched the surface so farhttps://twitter.com/TensorFlow/status/1231987426496843777 …
Check out how If you use tf.keras for your deep learning models, you can: - Train on TPU or a GPU cluster in a few lines of code (fast experiment cycles) - Quickly get the best hyperparameters with Keras Tuner - Deploy on servers, on mobile devices, on embedded devices, or in the browser
Thanks for giving us Keras.
Hope you will cover this in your updated version of your book, or maybe write a new book 
Please @fchollet update your Deep Learning Python book's programs (particularly chapter 5 DL Computer Vision) using latest Keras syntax features & runs on Colab, & update your book's Github page Python code files, that will help a lot.
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