Does Tensorflow Use Automatic Differentiation

TensorFlow provides the tf. GradientTape API for automatic differentiation; that is, computing the gradient of a computation with respect to some inputs, usually tf. … TensorFlow then uses that tape to compute the gradients of a “recorded” computation using reverse mode differentiation.

Does TensorFlow use automatic or symbolic gradients?

3 Answers. TF uses automatic differentiation and more specifically reverse-mode auto differentiation.

How does TensorFlow perform backpropagation?

In tensorflow it seems that the entire backpropagation algorithm is performed by a single running of an optimizer on a certain cost function, which is the output of some MLP or a CNN. … A cost function can be defined for any model.