gapnet.dnn_modelling.models.lindahl_2022.Lindahl_model_5

class documentation

class Lindahl_model_5(nn.Sequential): (source)

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Similar to Kell et al., but using temporal convolutions only

Method __init__ Undocumented
Instance Variable bias Undocumented
Instance Variable channel_factor Undocumented
Instance Variable conv_layers Undocumented
Instance Variable dropout Undocumented
Instance Variable hidden_layer_size Undocumented
def __init__(self, input_shape=None, output_classes=2, channel_factor=4, hidden_layer_size=512, bias=True, dropout=0.0, verbose=True, output_activation=None, **kwargs): (source)

Undocumented

bias = (source)

Undocumented

channel_factor = (source)

Undocumented

conv_layers = (source)

Undocumented

dropout = (source)

Undocumented

hidden_layer_size = (source)

Undocumented