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Is there a way to get the number of layers (not parameters) in a Keras model?
model.summary() is very informative, but it is not straightforward to get the number of layers from it.
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The 7 layers of the OSI model. The layers are: Layer 1—Physical; Layer 2—Data Link; Layer 3—Network; Layer 4—Transport; Layer 5—Session; Layer 6—Presentation; Layer 7—Application.
By applying this formula to the first Conv2D layer (i.e., conv2d ), we can calculate the number of parameters using 32 * (1 * 3 * 3 + 1) = 320, which is consistent with the model summary. The input channel number is 1, because the input data shape is 28 x 28 x 1 and the number 1 is the input channel.
model.layers will give you the list of all layers. The number is consequently len(model.layers)
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