Error in comments for forward prop tf prog exercice

A2 instead of Z2 : see below in bold

GRADED FUNCTION: forward_propagation

@tf.function
def forward_propagation(X, parameters):
“”"
Implements the forward propagation for the model: LINEAR → RELU → LINEAR → RELU → LINEAR

Arguments:
X -- input dataset placeholder, of shape (input size, number of examples)
parameters -- python dictionary containing your parameters "W1", "b1", "W2", "b2", "W3", "b3"
              the shapes are given in initialize_parameters

Returns:
Z3 -- the output of the last LINEAR unit
"""

# Retrieve the parameters from the dictionary "parameters" 
W1 = parameters['W1']
b1 = parameters['b1']
W2 = parameters['W2']
b2 = parameters['b2']
W3 = parameters['W3']
b3 = parameters['b3']

#(approx. 5 lines)                   # Numpy Equivalents:
# Z1 = ...                           # Z1 = np.dot(W1, X) + b1
# A1 = ...                           # A1 = relu(Z1)
# Z2 = ...                           # Z2 = np.dot(W2, A1) + b2
# A2 = ...                           # A2 = relu(Z2)
# Z3 = ...                           # Z3 = np.dot(W3, **A2**) + b3
# YOUR CODE STARTS HERE
1 Like

Hey @Fredo ! Thank you for pointing this out. Noted.