/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 vote152 views1 answer
Python three periods
Python
0 vote123 views1 answer
Python drop rows with two conditions
Python
1 vote139 views2 answers
Plt.scatter background color
Python
1 vote118 views2 answers
Where
Python
0 vote145 views1 answer
Python rotate pdf pages
Python
-3 votes153 views1 answer
Django socketio web chat example
Python Django
5 votes116 views2 answers
Python captcha
Python
5 votes120 views4 answers
Django get or 404
Python
0 vote173 views1 answer
Copy multiple files from one folder to another folder
Python
0 vote123 views2 answers
Python multilevel list comprehension
Python