An abstract base class inherited by all neural network layers
(self, optimizer=None)
| 26 | |
| 27 | class LayerBase(ABC): |
| 28 | def __init__(self, optimizer=None): |
| 29 | """An abstract base class inherited by all neural network layers""" |
| 30 | self.X = [] |
| 31 | self.act_fn = None |
| 32 | self.trainable = True |
| 33 | self.optimizer = OptimizerInitializer(optimizer)() |
| 34 | |
| 35 | self.gradients = {} |
| 36 | self.parameters = {} |
| 37 | self.derived_variables = {} |
| 38 | |
| 39 | super().__init__() |
| 40 | |
| 41 | @abstractmethod |
| 42 | def _init_params(self, **kwargs): |
nothing calls this directly
no test coverage detected