Autoencoders
What is Autoencoders? Autoencoders, a fascinating subset of neural networks, serve as a bridge between the input and a reconstructed output, operating under the principle of data encoding and decoding. At their core, these models are designed to learn efficient representations of data, often for the purpose of dimensionality reduction or feature learning. Basics of […]