(self)
| 94 | self.is_initialized = False # 是否初始化， bool型变量 |
| 95 | |
| 96 | def _init_params(self): |
| 97 | b = np.zeros((1, self.n_out)) |
| 98 | W = self.init_weights((self.n_in, self.n_out)) |
| 99 | self.params = {"W": W, "b": b} |
| 100 | self.gradients = {"W": np.zeros_like(W), "b": np.zeros_like(b)} |
| 101 | self.derived_variables = {"Z": []} |
| 102 | self.is_initialized = True |
| 103 | |
| 104 | def forward(self, X, retain_derived=True): |
| 105 | """ |