Weights and gradients are closely related in neural networks and are central to how the model learns during training. Here’s how they’re connected: 1. Weights: The Model’s Knowledge Weights are the parameters within the model that determine how the input data is transformed at each layer. They decide the strength and direction of influence each … Continue reading weights+gradients