AI, Machine Learning, Data Science, Deep Learning, Cnn.
smaller stride results in a larger output dimension. But why would we want to change the stride? Increasing the stride will allow the filter to cover a larger area of the input image, which can be useful for capturing more global features. In contrast, lowering the stride will capture finer and