tf.contrib.layers.one_hot_encoding

tf.contrib.layers.one_hot_encoding(
    labels,
    num_classes,
    on_value=1.0,
    off_value=0.0,
    outputs_collections=None,
    scope=None
)

Defined in tensorflow/contrib/layers/python/layers/layers.py.

See the guide: Layers (contrib) > Higher level ops for building neural network layers

Transform numeric labels into onehot_labels using tf.one_hot.

Args:

• labels: [batch_size] target labels.
• num_classes: Total number of classes.
• on_value: A scalar defining the on-value.
• off_value: A scalar defining the off-value.
• outputs_collections: Collection to add the outputs.
• scope: Optional scope for name_scope.

Returns:

One-hot encoding of the labels.