A layer that produces a dense Tensor based on given feature_columns.
layer_dense_features( object, feature_columns, name = NULL, trainable = NULL, input_shape = NULL, batch_input_shape = NULL, batch_size = NULL, dtype = NULL, weights = NULL )
Model or layer object
An iterable containing the FeatureColumns to use as
inputs to your model. All items should be instances of classes derived from
An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided.
Whether the layer weights will be updated during training.
Dimensionality of the input (integer) not including the samples axis. This argument is required when using this layer as the first layer in a model.
Shapes, including the batch size. For instance,
Fixed batch size for layer
The data type expected by the input, as a string (
Initial weights for layer.