how to create a custom callback function in keras while training the model
class myCallback(tf.keras.callbacks.Callback):
def on_epoch_end(self, epoch, logs={}):
if(logs.get('acc')>0.99):
print("\nReached 99% accuracy so cancelling training!",epoch)
self.model.stop_training = True
callback=myCallback()
model.fit(x_training, y_training,callbacks=[callback])