Epochs

An epoch represents one complete pass of the entire training dataset through the AI model during the training process.

• In each epoch, the model sees and learns from every example in the training data once.

• The number of epochs is a hyperparameter that you set before training.

• It determines how many times the model will iterate over the entire dataset.

• Too few epochs can lead to underfitting, where the model doesn't learn enough from the data.

• Too many epochs can lead to overfitting, where the model memorizes the training data too well and performs poorly on new, unseen data.