nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn module
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.Conv_1D_Block(inputs, num_filters, kernel, strides)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.SE_Block(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.classifier(inputs, class_number)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.conv_block(inputs, num_filters)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.learner101(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.learner152(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.learner18(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.learner34(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.learner50(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.regressor(inputs, feature_number)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.residual_block(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.residual_block_bottleneck(inputs, num_filters, ratio)[source]
- nirs4all.operators.models.tensorflow.legacy.se_resnet_1d_cnn.residual_group(inputs, n_filters, ratio, n_blocks, conv=True)[source]