👉 Tensorship is a concept in the field of computer science and machine learning, particularly in the context of neural networks. It refers to a type of network architecture that allows for the representation of multiple inputs and outputs simultaneously, which can be useful for tasks such as image recognition or natural language processing. In a traditional neural network, each input (or feature) is represented by a single weight vector, while each output is also represented by a single weight vector. This means that when two different inputs are fed
