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Z,Linear_cache = linear_forward (W,A_prev,b) A,activation_cache = sigmoid (Z) cache = (Linear_cache, activation_cache) return A, cache def L_model_forward (X, parameters): """ Implement forward propagation for the [LINEAR->RELU]* (L-1)->LINEAR->SIGMOID computation Arguments: X -- data, numpy array of shape (input size, number of examples)
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