Multimodal Deep Learning, Autoencoder, Gan, Vae.
and then decode it back to reconstruct the original data. The main idea behind autoencoders is to learn a compressed and informative representation of the input data, that captures its essential features while reducing its dimensionality. Let’s understand the components and the working of