Meaning of attribute n_layers_ in sklearn.neural

I have trained a model using sklearn.neural_network.MLPClassifier and I want to know how many layers are in my clssifier. The result shows :

sklearn.neural_network.MLPClassifier

>>from sklearn.neural_network import MLPClassifier >>clf = MLPClassifier() >>clf = clf.fit(train_matrix,train_label) >>clf.n_layers_ >>3

The document shows attribute n_layers_ means :

Number of layers

Dose it mean there is a hidden layer or there are three hidden layers?

1 Answer
1

n_layers_ denotes all the layers in the neural network which include

n_layers_

len(hidden_layer_sizes)

So if you initialized the classifier as

clf = MLPClassifier()

The default hidden_layer_sizes param = (100,), so number of hidden layers = 1.

hidden_layer_sizes

(100,)

So total layers = 1+1+1 = 3 as you are getting.

If instead you initialized it as:

clf = MLPClassifier(hidden_layer_sizes=(100,100,))

Now the number of hidden layers = 2, so total layers = 4

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