Python, Machine Learning, Data Science, Deep Learning, Remote Sensing.
model by terminating the training process if it’s not really learning anything. This is pretty flexible — you can control what metric to monitor, how much it needs to change to be considered “still learning”, and how many epochs in a row it can falter before the model stops training.