INNER CODE UNIT · Python

load_params_and_grads

amanchadha/coursera-deep-learning-specialization · C2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/Week 2/opt_utils.py:35

def load_params_and_grads(seed=1):
    np.random.seed(seed)
    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)
    
    return W1, b1, W2, b2, dW1, db1, dW2, db2


def initialize_parameters(layer_dims):
    """
    Arguments:

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