Research on Overfitting of Deep Learning
Research on Overfitting of Deep Learning
Overfitting occurs when an algorithm fits too closely to its training data, resulting in a model that can't make accurate predictions or conclusions
Regularization is the most popular technique to prevent overfitting It is a group of methods that forces the learning algorithms to make a model simpler
overfitting What Is Overfitting? Overfitting is a machine learning behavior that occurs when the model is so closely aligned to the training data that it does not know how
overfitting ดังนั้น การแก้ overfitting ที่ง่ายที่สุดก็คือการกำหนด weight ในแต่ละชั้นของ Neural Network ให้มีขนาดน้อยลง เพื่อเป็นการบังคับให้โมเดลไม่สามารถจำคำตอบในจำนวนมากได้
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