Created
May 23, 2020 17:05
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| def forward_pass(self, a_prev: np.array) -> np.array: | |
| self._z = np.maximum(0, a_prev) | |
| return self._z | |
| def backward_pass(self, da_curr: np.array) -> np.array: | |
| dz = np.array(da_curr, copy=True) | |
| dz[self._z <= 0] = 0 | |
| return dz |
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