Here, we will write a function neural_network, which will apply a neural network operation with 2 inputs and 1 output and a given weight matrix.

Available Functions: You have access to the NumPy python library as np

Your function should take two arguments: inputs and weights, two NumPy arrays of shape (2,1) and should return a NumPy array of shape (1,1), the output of the neural network. Do not forget the tanh activation.

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What I have so far is

def neural_network(inputs,weights): inputs = np.random.rand(2,1) weights = np.random.rand(2,1) result = np.dot(inputs.transpose(),weights) out = np.tan(result) return out raise NotImplementedError

but its wrong, what am I doing wrong?