In aneural network, which of the subsequent strategies is used to deal with overfittinf in tensorflow
Answers
Answered by
0
Answer:
To prevent overfitting, the best solution is to use more complete training data. The dataset should cover the full range of inputs that the model is expected to handle. Additional data may only be useful if it covers new and interesting cases. A model trained on more complete data will naturally generalize better.
Explanation:
Similar questions