In the realm of deep learning, the architecture of neural networks is a fundamental topic that warrants a thorough understanding. One important aspect of this architecture is the relationship between consecutive hidden layers, specifically whether the inputs to a given hidden layer must correspond to the outputs of the preceding layer. This question touches on