| LayerTypes {Microsoft.VisualBasic.MachineLearning.CNN} | .NET clr documentation |
# namespace Microsoft.VisualBasic.MachineLearning.CNN
export class LayerTypes extends Enum {
# conv
[@desc "conv"]
Convolution: LayerTypes = 0;
# input
[@desc "input"]
Input: LayerTypes = 1;
# output
[@desc "output"]
Output: LayerTypes = 2;
[@desc "pool"]
Pool: LayerTypes = 3;
[@desc "relu"]
ReLU: LayerTypes = 4;
[@desc "softmax"]
SoftMax: LayerTypes = 5;
[@desc "sigmoid"]
Sigmoid: LayerTypes = 6;
[@desc "tanh"]
Tanh: LayerTypes = 7;
[@desc "maxout"]
Maxout: LayerTypes = 8;
[@desc "lrn"]
LRN: LayerTypes = 9;
[@desc "dropout"]
Dropout: LayerTypes = 10;
[@desc "fully_connect"]
FullyConnected: LayerTypes = 11;
[@desc "regression"]
Regression: LayerTypes = 12;
[@desc "svm"]
SVM: LayerTypes = 13;
[@desc "conv_transpose"]
Conv2DTranspose: LayerTypes = 14;
[@desc "fourier_feature"]
FourierFeature: LayerTypes = 15;
[@desc "leaky_relu"]
LeakyReLU: LayerTypes = 16;
[@desc "gaussian"]
Gaussian: LayerTypes = 17;
}
Convolution: LayerTypesInput: LayerTypesOutput: LayerTypesPool: LayerTypesReLU: LayerTypesSoftMax: LayerTypesSigmoid: LayerTypesTanh: LayerTypesMaxout: LayerTypesLRN: LayerTypesDropout: LayerTypesFullyConnected: LayerTypesRegression: LayerTypesSVM: LayerTypesConv2DTranspose: LayerTypesFourierFeature: LayerTypesLeakyReLU: LayerTypesGaussian: LayerTypes