1.)load house_dataset load the data from work space like input data and target data 2.)net = newfit(houseInputs,houseTargets,20)
Use 20 neurons in one hidden layer
3.) net=train(net,houseInputs,houseTargets) 60% are used for training. - 20% are used to validate that the network is generalizing and to stop training before overfitting. - The last 20% are used as a completely independent test of network generalization. To train the network, enter:
1.)load house_dataset
ReplyDeleteload the data from work space like input data and target data
2.)net = newfit(houseInputs,houseTargets,20)
Use 20 neurons in one hidden layer
3.) net=train(net,houseInputs,houseTargets)
60% are used for training.
- 20% are used to validate that the network is generalizing and to stop
training before overfitting.
- The last 20% are used as a completely independent test of network
generalization.
To train the network, enter:
This is command line method
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