In model defination it is written
# Backward propagation.
grads = backward_propagation(X, Y, cache)
But in course 1 for grads function instead of X we used AL(output of forward prop).
Is it right to write X, or it should be a3?
In model defination it is written
# Backward propagation.
grads = backward_propagation(X, Y, cache)
But in course 1 for grads function instead of X we used AL(output of forward prop).
Is it right to write X, or it should be a3?
Hi, @Lilit.Ghalachyan.
a3
is already passed inside cache
:
cache = (z1, a1, W1, b1, z2, a2, W2, b2, z3, a3, W3, b3)
And you also need X
to compute dW1
.
Let me know if it is clear now
yes it is clear, thank you @nramon