org.deeplearning4j.scalnet.models
NeuralNet
Related Docs:
object NeuralNet
| package models
Build model configuration from optimizer and seed.
Build model configuration from optimizer and seed.
optimization algorithm to use in model
seed to use
NeuralNetConfiguration.Builder
Make last layer of architecture an output layer using the provided loss function.
Make last layer of architecture an output layer using the provided loss function.
loss function to use
Compile neural net architecture.
Evaluate model against an iterator over data set
Evaluate model against an iterator over data set
data set
output size
Evaluation instance
Evaluate model against an iterator over data set
Evaluate model against an iterator over data set
data set
Evaluation instance
Evaluate model against an iterator over data set
Evaluate model against an iterator over data set
iterator over data set
output size
Evaluation instance
Evaluate model against an iterator over data set
Evaluate model against an iterator over data set
iterator over data set
Evaluation instance
Fit neural net to data.
Fit neural net to data.
data set
number of epochs to train
callbacks for monitoring training
Fit neural net to data.
Fit neural net to data.
iterator over data set
number of epochs to train
callbacks for monitoring training
Use neural net to make prediction on input x.
Use neural net to make prediction on input x
Simple DL4J-style sequential neural net architecture with one input node and one output node for each node in computational graph.
Wraps DL4J MultiLayerNetwork. Enforces DL4J model construction pattern: adds pre-processing layers automatically but requires user to specify output layer explicitly.