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hub / github.com/SimJeg/FC-DenseNet / __init__

Method __init__

FC-DenseNet.py:12–114  ·  view source on GitHub ↗

This code implements the Fully Convolutional DenseNet described in https://arxiv.org/abs/1611.09326 The network consist of a downsampling path, where dense blocks and transition down are applied, followed by an upsampling path where transition up and dense blocks are applied

(self,
                 input_shape=(None, 3, None, None),
                 n_classes=11,
                 n_filters_first_conv=48,
                 n_pool=4,
                 growth_rate=12,
                 n_layers_per_block=5,
                 dropout_p=0.2)

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Callers

nothing calls this directly

Calls 4

BN_ReLU_ConvFunction · 0.90
TransitionDownFunction · 0.90
TransitionUpFunction · 0.90
SoftmaxLayerFunction · 0.90

Tested by

no test coverage detected