Multimodal Deep Learning, Autoencoder, Gan, Vae.
multimodal deep learning, we see that combining different types of data has a lot of potential for making AI systems better. We’ve talked about some important algorithms like autoencoders, Variational Autoencoders, and Generative Adversarial Networks, which are like the building blocks for working