Overfitting - เฮง เค็ ล

Underfitting the training set is when the loss is not as low as it could be because the model hasn't learned enough signal Overfitting the training set is when

Overfitting describes when a model becomes too sensitive to noise in its training set, leading it to not generalize, or to generalize poorly, to new data

overfitting Overfitting occurs when a machine learning model matches the training data too closely, losing its ability to classify and predict new data An overfit model

overfitting How to Treat Overfitting in Convolutional Neural Networks · Introduction · Splitting the Data · Regularization · Weight Initialization · Dropout