Man pages for andrie/RMLtools
Helper Functions to Make it Easier to Use neuralNet in the MicrosoftML Package
| 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 |
