Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
has the same spatial dimensions as the input. It achieves this by adding zero-padding to the input such that the filter can slide over the input without going outside its boundaries. The amount of padding is calculated to keep the dimensions the same. from tensorflow.keras.layers import Conv2D