smash.factory.Net#

class smash.factory.Net[source]#

Artificial Neural Network initialization.

Examples

>>> from smash.factory import Net
>>> net = Net()
>>> net
+------------------------------------------------+
| Layer Type  Input/Output Shape  Num Parameters |
+------------------------------------------------+
Total parameters: 0
Trainable parameters: 0

Attributes:

history: A dictionary saving training information.
layers: List of Layer objects defining the graph of the network.

Methods

`add`(layer, options)	Add layers to the neural network.
`copy`()	Make a deepcopy of the Net.
`set_trainable`(trainable)	Method which enables to train or freeze the weights and biases of the network's layers.