AI, Machine Learning, Data Science, Deep Learning, Cnn.
| Source A stride of 2 not only changes the way the convolution iterates over the input size but also the output by making it smaller (2 × 2). Taking this into account we can conclude that: A larger stride will produce smaller output dimensions (as it covers the input image faster), whereas a