Explained, Deep Learning, Hyperparameter, AI, Backpropagation.
on it. We can continually do this process till the error is close to zero. The final values of the variables we get are essentially what we call the “weights” and “biases” of the equation (in this case, the neural network). The function that computes this error is called the loss function. The goal