Function builder for a dnn logit_fn.
tf.contrib.estimator.dnn_logit_fn_builder(
units, hidden_units, feature_columns, activation_fn, dropout,
input_layer_partitioner, batch_norm
)
Args |
units
|
An int indicating the dimension of the logit layer. In the
MultiHead case, this should be the sum of all component Heads' logit
dimensions.
|
hidden_units
|
Iterable of integer number of hidden units per layer.
|
feature_columns
|
Iterable of feature_column._FeatureColumn model inputs.
|
activation_fn
|
Activation function applied to each layer.
|
dropout
|
When not None , the probability we will drop out a given
coordinate.
|
input_layer_partitioner
|
Partitioner for input layer.
|
batch_norm
|
Whether to use batch normalization after each hidden layer.
|
Returns |
A logit_fn (see below).
|
Raises |
ValueError
|
If units is not an int.
|