A Deep Dive into Autoencoders and Their Relationship to PCA and SVD

An in-depth exploration of autoencoders and dimensionality reduction

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An autoencoder is a type of neural network that learns to reconstruct its input. It consists of an encoder network that compresses the input data into a low-dimensional space and a decoder network that reconstructs the input data from…