SMRTR summary
TensorFlow's tf.distribute.Strategy enables distributed machine learning across multiple devices, allowing developers to create custom training loops, distribute datasets, compute gradients, handle loss scaling, and configure training for various strategies like MirroredStrategy and TPUStrategy.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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