I'm using Keras, and I am struggling to know how many parameters
Resnet-50 has. Keras documentation says around
25M, while if I use
model.param_count() when loading a
Resnet-50 model, it says
Which one is correct? I'm confused.
model.summary prints this:
Total params: 234,355,586 Trainable params: 210,767,874 Non-trainable params: 23,587,712