Multimodal Deep Learning, Autoencoder, Gan, Vae.
data, followed by non-linear activation functions (such as ReLU, Sigmoid, or tanh). The number of neurons in the final encoder layer, also known as the latent layer, determines the dimensionality of the lower-dimensional representation. This is typically lower than the dimensionality of the input