Tf where gradient, This guide focuses on deeper, less common features of the tf. 1) g = tf. GradientTape API. stop_gradient which is used during graph construction. gradient( target, sources, output_gradients=None, unconnected_gradients=tf. 16. where contains NaNs, the gradient will always be NaN, regardless whether the input is actually used or not, and the workaround is to prevent the inputs from ever containing NaNs. 0 — Introduction. gradients is only valid in a graph context. Automatic differentiationis useful for implementing machine learning algorithms such asbackpropagationfor trainingneural networks.
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