/Python/How to create a custom callback function in keras while training the model

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])

Similar codes

0 vote233 views1 answer
How to add subtitle matplotlib
Python
1 vote241 views2 answers
Django class based views
Python
0 vote242 views1 answer
The following packages have unmet dependencies: libnode72 : Conflicts: nodejs-legacy E: Broken packages
Python
0 vote228 views1 answer
Queryset to list python
Python
9 votes228 views2 answers
How copy and create same conda environment
Python
0 vote230 views3 answers
Django custom authentication
Python
1 vote249 views1 answer
Python see if a number is greater than other
Python
2 votes230 views2 answers
Generate random integer matrix python
Python
3 votes276 views1 answer
Python distance of coordinates
Python
0 vote272 views1 answer
Permission denied when converting dataframe to csv
Python