Implementing an Autoencoder in PyTorch Autoencoders are a style of neural network which generates an "n-layer" coding on the given input and tries to reconstruct the input using the code generated. Zero-padding—It allows us to manage the spatial size from the output volume by padding zeros round the border https://financefeeds.com/blockchain-gaming-documentary-explores-indie-game-development-in-web3-and-the-polkadot-ecosystem/