Deep Learning, Machine Learning, Data Science, Python, Heartbeat.
augmentation will increase the size of data by applying different transformations to images and dropout layers will reduce the network complexity by randomly dropping some neurons. Regularization techniques will penalize the network for producing large errors and, at the end, early stopping methods