def dnn6(td): return dnnc(td.shape[1], n_classes=3, hidden_layers=[6])
def dnn3(td): return dnnc(td.shape[1], n_classes=2, hidden_layers=[3])
def dnn_layers(td): return dnnc(td.shape[1], n_classes=2, hidden_layers=[td.shape[1], td.shape[1]])
def dnn_dropout(td): return dnnc(td.shape[1], n_classes=2, hidden_layers=[td.shape[1] * 4], dropout=0.5)
def dnn_large(td): return dnnc(td.shape[1], n_classes=2, hidden_layers=[td.shape[1] * 4])
def dnn2_class(td): return dnnc(td.shape[1], n_classes=2, hidden_layers=[2])