Machine Learning, Artificial Intelligence, Regularization, Dropout Regularization, Overfitting.
and has a significant impact on the learned model. A good value of the dropout ratio is between 0.25 to 0.4. b. Injecting noise (weak) Similar to dropout, this method is usually used when the model being learned is a neural network. In this method, we tamper with the weights being learned through