construct a neural network classifier
list of feature columns
(optional) one or more keyword options described below
hidden_units : list of nonnegative integers
Specifies the number of hidden nodes in the neural network at each level.
num_classes : nonnegative integer
Specifies the number of distinct classes into which the data should be classified.
optimizer : function or Optimizer object
Specifies the optimizer to use to train the model. The default is the Adagrad optimizer.
The DNNClassifier(fc,opts) command creates a deep neural network classifier for the feature columns specified in fc.
This function is part of the DeepLearning package, so it can be used in the short form DNNClassifier(..) only after executing the command with(DeepLearning). However, it can always be accessed through the long form of the command by using DeepLearning[DNNClassifier](..).
The DeepLearning[DNNClassifier] command was introduced in Maple 2018.
For more information on Maple 2018 changes, see Updates in Maple 2018.
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