Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
outputs to be random Dropout adds noise to the predictions Other Regularization Methods Apart from L2 regularization and dropout, there are a few other techniques that can be used to reduce overfitting. Data Augmentation: Suppose we are building an image classification model and are lacking the