👉 The term "longitudinal" refers to a type of neural network architecture that uses multiple layers of neurons connected together in parallel. This allows for better parallel processing and can lead to faster training times compared to traditional feedforward networks. Longitudinal architectures are commonly used in deep learning applications such as computer vision, speech recognition, and natural language processing.
