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keras callback

Xenophobic Xenomorph answered on November 4, 2020 Popularity 8/10 Helpfulness 2/10

answer keras callback

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keras callback

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class myCallback(tf.keras.callbacks.Callback):
  def on_epoch_end(self, epoch, logs={}):
    '''
    Halts the training after reaching 90 percent accuracy

    Args:
      epoch (integer) - index of epoch (required but unused in the function definition below)
      logs (dict) - metric results from the training epoch
    '''

    # Check accuracy
    if(logs.get('accuracy') > 0.9):

      # Stop if threshold is met
      print("\nAccuracy is grater than 0.6 so cancelling training!")
      self.model.stop_training = True

# Instantiate class
callbacks = myCallback()

Popularity 8/10 Helpfulness 2/10 Language python

Source: www.grepper.com

Tags: callback keras python

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Contributed on Feb 07 2023

Xenophobic Xenomorph

0 Answers Avg Quality 2/10

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keras callbacks

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tf.keras.callbacks.CSVLogger(filename, separator=",", append=False)

Popularity 10/10 Helpfulness 1/10 Language python

Source: keras.io

Tags: keras kera

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Contributed on Nov 04 2020

Confused Coyote

0 Answers Avg Quality 2/10

keras callback

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