Breaking News: Grepper is joining You.com. Read the official announcement!

show predictions at epoch end

VVY answered on January 15, 2024 Popularity 2/10 Helpfulness 8/10

answer show predictions at epoch end

show predictions at epoch end

Comment

# Example: from https://www.tensorflow.org/tutorials/images/segmentation
def create_mask(pred_mask):
  pred_mask = tf.math.argmax(pred_mask, axis=-1)
  pred_mask = pred_mask[..., tf.newaxis]
  return pred_mask[0]


def show_predictions(dataset=None, num=1):
  if dataset:
    for image, mask in dataset.take(num):
      pred_mask = model.predict(image)
      display([image[0], mask[0], create_mask(pred_mask)])
  else:
    display([sample_image, sample_mask,
             create_mask(model.predict(sample_image[tf.newaxis, ...]))])
             

class DisplayCallback(tf.keras.callbacks.Callback):
  def on_epoch_end(self, epoch, logs=None):
    clear_output(wait=True)
    show_predictions()
    print ('\nSample Prediction after epoch {}\n'.format(epoch+1))
    
    
model_history = model.fit(train_batches, epochs=EPOCHS,
                          steps_per_epoch=STEPS_PER_EPOCH,
                          validation_steps=VALIDATION_STEPS,
                          validation_data=test_batches,
                          callbacks=[DisplayCallback()])

Popularity 2/10 Helpfulness 8/10 Language python

Source: www.tensorflow.org

Tags: epoch python show

Link to this answer
Share Copy Link