(gradients y)
(gradients y & xs)
The symbolic gradient of y with respect to xs. For example, if we wanted to calculate the gradient of our cost function with respect to our weight, we could use.
The symbolic gradient of y with respect to xs. For example, if we wanted to calculate the gradient of our cost function with respect to our weight, we could use.
(numerical-gradients y & xs)
Calculate the approximate gradient of y with respect to x This is best used for testing differentiated gradients.
Calculate the approximate gradient of y with respect to x This is best used for testing differentiated gradients.
(paths from to)
Get all paths from one op to another
Get all paths from one op to another
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