2 docs tagged with "weights"

You’ve learned how to do forward propagation, backpropagation, and gradient descent. But now comes a crucial design decision: How do we initialize the weights?

In machine learning, weights are crucial parameters that are learned during the training of a model, such as a neural network. They help the model make predictions by assigning importance to the inputs it receives. Let's break down the concept further: