Custom and Distributed Training with TensorFlow
Coursera · intermediate · 24h
Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the difference between the eager and graph modes in TensorFlow, and learn how to use a TensorFlow tool to calculate gradients. Build your own custom training loops using GradientTape and TensorFlow Datasets to gain more flexibility and visibility with your model training. Learn about the benefits of generating code that runs in graph mode, and practice generating this more efficient code automatically with TensorFlow’s tools.
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