9 – 13 Overfitting Intro V4 Final
When we minimize the network error using backpropagation, we may either properly fit the model to the data or overfit. Generally speaking, when we have a finite training set, there’s a risk of overfitting. Overfitting means that our model will fit the training data too closely. In other words, we over trained the model or … Read more
댓글을 달려면 로그인해야 합니다.