👉 Propositional Spinal is a type of neural network architecture that was proposed by researchers at the University of California, Berkeley. Propositional Spinal consists of two layers - an input layer and a hidden layer - where each layer has a different number of neurons. The input layer receives inputs from the previous layer, while the hidden layer processes these inputs to produce output. This architecture is designed to be able to handle complex tasks that require multiple layers of processing. Propositional Spinal is particularly
