(
model,
base_learning_rate,
parameters=None,
max_gradient_norm=None,
allow_lr_injection=False,
**kwargs
)
| 2301 | |
| 2302 | |
| 2303 | def build_adadelta( |
| 2304 | model, |
| 2305 | base_learning_rate, |
| 2306 | parameters=None, |
| 2307 | max_gradient_norm=None, |
| 2308 | allow_lr_injection=False, |
| 2309 | **kwargs |
| 2310 | ): |
| 2311 | adadelta_optimizer = AdadeltaOptimizer(alpha=base_learning_rate, **kwargs) |
| 2312 | return _build( |
| 2313 | model, |
| 2314 | adadelta_optimizer, |
| 2315 | max_gradient_norm=max_gradient_norm, |
| 2316 | allow_lr_injection=allow_lr_injection, |
| 2317 | ) |
| 2318 | |
| 2319 | |
| 2320 | def build_adam( |
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