public class ConvolutionalNetwork extends NeuralNetwork<ConvolutionalBackpropagation>
ConvolutionalBackpropagation,
Serialized Form| Modifier and Type | Class and Description |
|---|---|
static class |
ConvolutionalNetwork.Builder |
outputBuffer| Constructor and Description |
|---|
ConvolutionalNetwork() |
| Modifier and Type | Method and Description |
|---|---|
void |
setInput(double... inputVector)
Sets network input, to all feature maps in input layer
|
addLayer, addLayer, addListener, addPlugin, calculate, createConnection, createFromFile, createFromFile, fireNetworkEvent, getInputNeurons, getInputsCount, getLabel, getLayerAt, getLayers, getLayersCount, getLearningRule, getNetworkType, getOutput, getOutputLabels, getOutputNeurons, getOutputsCount, getPlugin, getWeights, indexOf, isEmpty, learn, learn, load, load, pauseLearning, randomizeWeights, randomizeWeights, randomizeWeights, randomizeWeights, removeLayer, removeLayerAt, removeListener, removePlugin, reset, resumeLearning, save, setInputNeurons, setLabel, setLearningRule, setNetworkType, setOutputLabels, setOutputNeurons, setWeights, stopLearning, toStringpublic void setInput(double... inputVector)
throws VectorSizeMismatchException
setInput in class NeuralNetwork<ConvolutionalBackpropagation>inputVector - VectorSizeMismatchExceptionCopyright © 2019 Neuroph Project. All rights reserved.