I was wondering about the difference between weight and gradient. Is gradient the same as the estimate of each parameter in the ordinary linear regression model. The article mentioned about modifying weights to reduce the error of the model. So is the weight referring to the weight of every layer regression model?
I was wondering about the difference between weight and gradient. Is gradient the same as the estimate of each parameter in the ordinary linear regression model. The article mentioned about modifying weights to reduce the error of the model. So is the weight referring to the weight of every layer regression model?