Multimodal Deep Learning, Autoencoder, Gan, Vae.
for the use case of multimodal deep learning with different data modalities. Let’s begin! Auto-Encoders An autoencoder is a neural network architecture used for unsupervised learning and dimensionality reduction. It is primarily designed to encode input data into a lower-dimensional representation