resnet_params

Typed parameters of the resnet family; importable without Keras.

ResNetBlockParams()

ResNet block parameters

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

filters: int = Field(..., description='# filters')

Number of filters

depth: int = Field(default=1, description='Layer depth')

Layer depth

kernel_size: int | tuple[int, int] = Field(default=3, description='Kernel size')

Kernel size

strides: int | tuple[int, int] = Field(default=1, description='Stride size')

Stride size

bottleneck: bool = Field(default=False, description='Use bottleneck blocks')

Use bottleneck blocks

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

Activation function

ResNetParams()

ResNet parameters

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

family: Literal['resnet'] = 'resnet'

Model family

blocks: list[ResNetBlockParams] = Field(default_factory=list, description='ResNet blocks')

ResNet 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

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

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

Output activation

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

Dropout rate