How do i stop training when my model has reached a desired training accuracy lets say 99 percent .
Please watch the lectures and the practice labs for explanation on keras callbacks.
Here’s the link on the implementation detail.
Is it a good practise to stop training when training accuracy has reached to 99 percent or should I stop training when it has reached to 100 percent
There is no one rule for when to stop training a model. Stopping criteria is specific to a problem which is often defined in collaboration with the consumer of the model.