netSharpLayer | Create or test for objects of type netSharpLayer. |
nnExtractIterationError | Extract the percentage improvement in modeling error from... |
nnExtractIterationImprovement | Extract the percentage improvement in modeling error from... |
nnExtractIterations | Extract iteration data from captured output of neuralNet... |
nnExtractTotalModelWeights | Extract the the total number of model weights from a... |
nnlayer_conv | Construct a convolution layer. |
nnlayer_full | Create fully connected layer. |
nnlayer_input | Construct input layer for NET# definition. |
nnlayer_norm | Create response normalization layer. |
nnlayer_output | Define output layer. |
nnlayer_pool | Create maximum pooling layer. |
nnSerialize | Read machine learning model from file. |
readNetDefinition | Reads a net definition from file. |
reconstructNetDefinition | Reconstruct the NET# net definition from an neuralNet object |
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