qualia_core.learningmodel.keras.ResNet module

class qualia_core.learningmodel.keras.ResNet.ResBlock(layers_t, in_filters, filters, kernel_size, stride, padding, batch_norm: bool = False, bn_momentum: float = 0.99, force_projection_with_stride: bool = True)

Bases: object

expansion = 1

property output_shape

qualia_core.learningmodel.keras.ResNet.ResNet(input_shape, output_shape, filters: int = (15, 15, 30, 60, 120), kernel_sizes: tuple = (3, 3, 3, 3, 3), num_blocks: tuple = (2, 2, 2, 2), strides: tuple = (1, 1, 2, 2, 2), paddings: int = (1, 1, 1, 1, 1), prepool: int = 1, batch_norm: bool = False, bn_momentum: float = 0.99, force_projection_with_stride: bool = True, dims: int = 1)