(self, learning_rate=0.002, beta_1=0.9, beta_2=0.999, epsilon=1e-8)
| 220 | |
| 221 | class Adamax(Optimizer): |
| 222 | def __init__(self, learning_rate=0.002, beta_1=0.9, beta_2=0.999, epsilon=1e-8): |
| 223 | self.epsilon = epsilon |
| 224 | self.beta_2 = beta_2 |
| 225 | self.beta_1 = beta_1 |
| 226 | self.lr = learning_rate |
| 227 | self.t = 1 |
| 228 | |
| 229 | def update(self, network): |
| 230 | for i, layer in enumerate(network.parametric_layers): |
nothing calls this directly
no outgoing calls
no test coverage detected