Machine Learning, Overfitting, Regularization, Artificial Intelligence, Data Science.
units per layer 7. Dropout 8. Early stopping 1. Hold-out (data) Rather than using all of our data for training, we can simply split our dataset into two sets: training and testing. A common split ratio is 80% for training and 20% for testing. We train our model until it performs well not only on