metabci.brainda.algorithms.deep_learning package¶
Submodules¶
- metabci.brainda.algorithms.deep_learning.base module
AvgPool2dWithConvEnsure4dExpressionMaxNormConstraintConv2dMaxNormConstraintConv2d.biasMaxNormConstraintConv2d.dilationMaxNormConstraintConv2d.forward()MaxNormConstraintConv2d.groupsMaxNormConstraintConv2d.in_channelsMaxNormConstraintConv2d.kernel_sizeMaxNormConstraintConv2d.out_channelsMaxNormConstraintConv2d.output_paddingMaxNormConstraintConv2d.paddingMaxNormConstraintConv2d.padding_modeMaxNormConstraintConv2d.strideMaxNormConstraintConv2d.transposedMaxNormConstraintConv2d.weight
MaxNormConstraintLinearNeuralNetClassifierNoLogSkorchNetadaptive_batch_norm()compute_out_size()compute_same_pad1d()compute_same_pad2d()identity()np_to_th()squeeze_final_output()transpose_time_to_spat()
- metabci.brainda.algorithms.deep_learning.convca module
- metabci.brainda.algorithms.deep_learning.deepnet module
- metabci.brainda.algorithms.deep_learning.eegnet module
- metabci.brainda.algorithms.deep_learning.guney_net module
- metabci.brainda.algorithms.deep_learning.shallownet module