/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

1 vote152 views4 answers
Bogo Sort
Python
0 vote209 views1 answer
Open a python script on click flask
Python Flask
12 votes146 views6 answers
Python format string
Python
0 vote163 views1 answer
Text splitter for nlp
Python
0 vote162 views1 answer
Ball python
Python
7 votes256 views3 answers
Match case in Python
Python
6 votes148 views3 answers
Python generate list
Python
0 vote171 views1 answer
Python program to calculate area of a rectangle using function
Python
0 vote137 views1 answer
Change xlabel python
Python
0 vote179 views1 answer
Get nonzero min numpy
Python