Multimodal Neural Networks for Risk Classification

Multimodal neural networks are a type of model designed to integrate data from multiple modalities, such as text, images, audio, video, or other data types. Multimodal networks aim to learn complex relationships between different kinds of inputs, with the hope of achieving better performance than a model focusing on a single modality. For example, in applications like video captioning, a…