`ZeroPadding2D` is a layer in the Python library Keras, specifically in the `convolutional` module. It is used to add rows and columns of zeros to the input tensor, symmetrically on both sides. This padding is beneficial when applying convolutional operations to the input data as it helps to preserve the spatial dimensions of the data. This layer is commonly used to ensure that the output shape of a convolutional layer matches the desired shape.
Python ZeroPadding2D - 30 examples found. These are the top rated real world Python examples of keras.layers.convolutional.ZeroPadding2D extracted from open source projects. You can rate examples to help us improve the quality of examples.