How many parameters in a deep CNN?
In this exercise, you will use Keras to calculate the total number of parameters along with the number of parameters in each layer of the network.
We have already provided code that builds a deep CNN for you.
This exercise is part of the course
Image Modeling with Keras
Exercise instructions
Summarize the network, providing a count of the number of parameters.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# CNN model
model = Sequential()
model.add(Conv2D(10, kernel_size=2, activation='relu',
input_shape=(28, 28, 1)))
model.add(Conv2D(10, kernel_size=2, activation='relu'))
model.add(Flatten())
model.add(Dense(3, activation='softmax'))
# Summarize the model
____