def propogate_forward(self, activations: Matrix, weights: Matrix,
biases: Matrix,
activation: Callable[[Scalar], Scalar]) -> Matrix:
z = weights.dot(activations) + biases
next_layer_activations = z.apply(activation)
self.__cache.append(CacheEntry(z, activations))
return next_layer_activations
def test_dot(self, name: str, left: Matrix, right: Matrix, result: Matrix):
self.assertMatrixAreEqual(left.dot(right), result)