sequential_model_input_layer | R Documentation |
sequential_model_input_layer
sequential_model_input_layer( input_shape = NULL, batch_size = NULL, dtype = NULL, input_tensor = NULL, sparse = NULL, name = NULL, ragged = NULL, type_spec = NULL, ..., input_layer_name = NULL )
input_shape |
an integer vector of dimensions (not including the batch
axis), or a |
batch_size |
Optional input batch size (integer or NULL). |
dtype |
Optional datatype of the input. When not provided, the Keras default float type will be used. |
input_tensor |
Optional tensor to use as layer input. If set, the layer
will use the |
sparse |
Boolean, whether the placeholder created is meant to be sparse.
Default to |
ragged |
Boolean, whether the placeholder created is meant to be ragged.
In this case, values of 'NULL' in the 'shape' argument represent ragged
dimensions. For more information about |
type_spec |
A |
... |
additional arguments passed on to |
input_layer_name, name |
Optional name of the input layer (string). |
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