pattern that's how we ensure that so that is under complete so that's usually for most use cases that's how we implement an an autoencoder then we have the over completes architecture and there's three different types of them so this parse this denoising and contractor so how many of you are familiar with regularization in neural networks okay a few of you so within your own networks um what we usually do is that within these different if if we find that our neural network is overfitting what we sometimes can't do one technique to listen that is