Sequential¶
- class
dragon.vm.tensorflow.keras.
Sequential
(
layers=None,
name=None
)[source]¶ Stack a group of layers and run sequentially.
Examples:
conv_triplet = tf.keras.Sequential([ tf.keras.layers.Conv2D(2, 3), tf.keras.layers.BatchNormalization(), tf.keras.layers.ReLU(inplace=True), ])
__init__¶
Sequential.
__init__
(
layers=None,
name=None
)[source]¶Create a
Sequential
layer.- Parameters:
- layers (Sequence[dragon.vm.tensorflow.keras.layers.Layer]) – The layers to stack.
- name (str, optional) – The layer name.
Properties¶
Methods¶
add¶
Sequential.
add
(layer)[source]¶Add a layer into the stack.
- Parameters:
- layer (dragon.vm.tensorflow.keras.layers.Layer) – The layer to add.