in this lecture at 7:49 , the pooling layer was inserted by writing ’ model.add(MaxPooling2D(2,2) ’ but in this statement what does (2,2) reffers to ie what is the stride and what is the filter/window size .As i have checked that , since we are creating a 2D MaxPooling layer so its syntax somehow goes like this : ’ tf.keras.layers.MaxPool2D(
pool_size=(2, 2), strides=None, padding=‘valid’, data_format=None, **kwargs
) ’ . Can u please explain that how the Max Pool layer have been added in the video at 7:49.
Doubt in lecture
Hello @saksham_thukral,
This means pool_size=(2,2) as you can see in the function signature that all the other parameters have default values and are used when calling without any value for those arguments.
Hope this solves your issue.
Happy Learning 
Thanks