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Gradienttape Watch A tensorflow module for recording operations to enable automatic differentiation. By default, gradienttape doesn’t track constants, so we must instruct it to with: Gradienttape() is used to record operations for automatic differentiation. A tensorflow module for recording operations to enable automatic differentiation. Gradienttape is a mathematical tool for automatic differentiation (autodiff), which is the core functionality of tensorflow. By default gradienttape will automatically watch any trainable variables that are accessed inside the context. Tape.watch(variable) then we can perform some computation on the variables we are watching. To compute multiple gradients over the same computation, create a persistent gradient tape. This allows multiple calls to the gradient (). To stop watching a tensor, we can use the.
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