(self, learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-8)
| 181 | |
| 182 | class Adam(Optimizer): |
| 183 | def __init__(self, learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-8): |
| 184 | self.epsilon = epsilon |
| 185 | self.beta_2 = beta_2 |
| 186 | self.beta_1 = beta_1 |
| 187 | self.lr = learning_rate |
| 188 | self.iterations = 0 |
| 189 | self.t = 1 |
| 190 | |
| 191 | def update(self, network): |
| 192 | for i, layer in enumerate(network.parametric_layers): |
nothing calls this directly
no outgoing calls
no test coverage detected