keras python中的model.sumary（）的不同参数是什么意思？

Question

When I write model.summary() I get something like

How can I get "connected to" argument? Also, can someone tell me the meaning of None in output shape argument?

Answer 1

None means that the number of samples that you feed into your network is not yet defined. This in general is a hyperparameter that you choose before training and is independent of your models architecture.

model.summary() is documented here

You might want to look into model.get_weights() or model.get_config() (which are methods though).

Useful attributes of class Model are (per Keras documentation):

• model.layers : flattened list of the layers comprising the model graph
• model.inputs : list of input tensors
• model.outputs : list of output tensors