In training, the result is that the precision of the training set reaches 99 or more, but the accuracy of the validation set is only 56. The loss values also vary greatly, there is an overfitting situation, and the first rank-1 shows 0.08. It is how it happened? @Ning-Ding @prashanthbasani @wangbm
In training, the result is that the precision of the training set reaches 99 or more, but the accuracy of the validation set is only 56. The loss values also vary greatly, there is an overfitting situation, and the first rank-1 shows 0.08. It is how it happened? @Ning-Ding @prashanthbasani @wangbm