Neural Network with TensorFlow: How to Stop Training Using Callback?
A practical tutorial on using callbacks to control training in TensorFlow — stopping early when the desired accuracy is reached.
Often, when training a very deep neural network, we want to stop training once the model reaches a target accuracy or when the loss stops improving. TensorFlow provides a clean mechanism for this via callbacks.
This tutorial walks through how to implement custom callbacks to gain fine-grained control over your training loop.