efficientnet_params

model_config = ConfigDict(frozen=True, extra='forbid')

family: Literal['efficientnet'] = 'efficientnet'

Model family

blocks: list[MBConvParams] = Field(default_factory=list, description='EfficientNet blocks')

EfficientNet blocks

input_filters: int = Field(default=0, description='Input filters')

Input filters

input_kernel_size: int | tuple[int, int] = Field(default=3, description='Input kernel size')

Input kernel size

input_strides: int | tuple[int, int] = Field(default=2, description='Input stride')

Input stride

input_activation: str = Field(default='relu6', description='Input activation')

Input activation

output_filters: int = Field(default=0, description='Output filters')

Output filters

output_activation: str | None = Field(default=None, description='Output activation')

Output activation

include_top: bool = Field(default=True, description='Include top')

Include top

num_classes: int | None = Field(default=None, gt=0, description='Classes of the output layer')

Classes of the output layer

dropout: float = Field(default=0.2, description='Dropout rate')

Dropout rate

drop_connect_rate: float = Field(default=0.2, description='Drop connect rate')

Drop connect rate

use_logits: bool = Field(default=True, description='Use logits')

Use logits

activation: str = Field(default='relu6', description='Activation function')

Activation function

norm: Literal['batch', 'layer'] | None = Field(default='layer', description='Normalization type')

Normalization type