Machine learning notes

notes.txt

Loss function —This measures how accurate the model is during training. You want to minimize this function to "steer" the model in the right direction.
Optimizer —This is how the model is updated based on the data it sees and its loss function.
Metrics —Used to monitor the training and testing steps. The following example uses accuracy, the fraction of the images that are correctly classified.