# Today I learned

Fastai:

- Initially, when you start training, accuracy continues to go up. However, the model will start memorizing after sometime and validation set accuracy will decrease. That is when the model starts to
*overfit*. - The model looks at all images exactly once in every epoch.
*Architecture*(for e.g., ResNet) is a template for a mathematical function. When trained, it turns into a*model*which contains parameters, possibly in millions, appropriate to tackle the problem at hand.*Train*=*fit*.