Give some suggestions to avoid overfitting

I'm training a neural networks which basicly does binary classification, but it overfits too fast. After 4-5 epochs it's already in overfitting. What is the reason of it? How to avoid from fast overfitting?

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1 Answers

There are couple of basic steps to do for avoiding overfitting

  1. Make the model smaller
  2. Increase examples in your dataset
  3. Add regularizations
  4. Try K-fold validation
  5. If you use transfer learning, try to freeze certain part of it
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