how to create a custom callback function in keras while training the model

Hami yestia ta honi bro answered on April 26, 2021 Popularity 7/10 Helpfulness 9/10

answer 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

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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])

Popularity 7/10 Helpfulness 9/10 Language python

Source: Grepper

Tags: callback function keras model python training

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Contributed on Apr 26 2021

Hami yestia ta honi bro

0 Answers Avg Quality 2/10

how to create a custom callback function in keras while training the model

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