INNER CODE UNIT · Python
update_parameters_with_momentum_test_case
amanchadha/coursera-deep-learning-specialization · C2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/Week 2/testCases.py:45
def update_parameters_with_momentum_test_case():
np.random.seed(1)
W1 = np.random.randn(2,3)
b1 = np.random.randn(2,1)
W2 = np.random.randn(3,3)
b2 = np.random.randn(3,1)
dW1 = np.random.randn(2,3)
db1 = np.random.randn(2,1)
dW2 = np.random.randn(3,3)
db2 = np.random.randn(3,1)
parameters = {"W1": W1, "b1": b1, "W2": W2, "b2": b2}
grads = {"dW1": dW1, "db1": db1, "dW2": dW2, "db2": db2}
v = {'dW1': np.array([[ 0., 0., 0.],
[ 0., 0., 0.]]), 'dW2': np.array([[ 0., 0., 0.],
[ 0., 0., 0.],
[ 0., 0., 0.]]), 'db1': np.array([[ 0.],
[ 0.]]), 'db2': np.array([[ 0.],