Compute Backpropagation Derivatives
January 23, 2019
Consider two features x1, x2 for a single training set:
Consider two features x1, x2 for a single training set:
Tanh (Hyperbolic Tangent) Function Derivative of Tanh (Hyperbolic Tangent) Function
Sigmoid Function Derivative of Sigmoid Function
Why do we use Backpropagation? For example, consider the expression Fig. 1 Fig. 2 Fig. 3 Fig. 4 In Fig. 4, Backpropagation gives us the derivative of e with respect to every node (c, d) and input variables (a, b), but Forwardpropagation ONLY gives us the derivative of our output with respect to… read more »