docstr: Very disorganized currently. Replace with dictionary? Also address never-ending parameters
          
docstr_tok: ["Very","disorganized","currently",".","Replace","with","dictionary","?","Also","address","never-ending","parameters"]
code: def get_callbacks(
      self,
      callbacks=[],
      output_model_filepath=None,
      monitor="val_loss",
      model=None,
      data_collection=None,
      save_best_only=False,
      epoch_prediction_dir=None,
      batch_size=1,
      epoch_prediction_object=None,
      epoch_prediction_data_collection=None,
      epoch_prediction_batch_size=None,
      latent_size=128,
      backend="tensorflow",
      **kwargs,
  ):
      """Very disorganized currently. Replace with dictionary? Also address never-ending parameters"""
  
      return_callbacks = []
  
      for callback in callbacks:
          if callback == "predict_gan":
              return_callbacks += [
                  PGGANPredict(
                      deepneuro_model=model,
                      data_collection=data_collection,
                      epoch_prediction_dir=epoch_prediction_dir,
                      batch_size=batch_size,
                      epoch_prediction_object=epoch_prediction_object,
                      epoch_prediction_data_collection=epoch_prediction_data_collection,
                      epoch_prediction_batch_size=epoch_prediction_batch_size,
                      latent_size=latent_size,
                  )
              ]
  
      return return_callbacks
  
imports: import math
  import numpy
  import tensorflow
  import os
  import imageio
  import keras
  import scipy
  from tqdm import tqdm
  from collections import defaultdict
  from deepneuro.utilities.util import add_parameter
  from deepneuro.models.blocks import generator, discriminator
  from deepneuro.models.cost_functions import wasserstein_loss
  from deepneuro.models.gan import GAN
  from deepneuro.models.ops import upscale2d, downscale2d
  from deepneuro.utilities.visualize import check_data
label_desc: Use image node_id 10 for calling the PGGAN obj's underlying member method code with example usage: obj.get_callbacks(callbacks, output_model_filepath, monitor, model, data_collection, save_best_only, epoch_prediction_dir, batch_size, epoch_prediction_object, epoch_prediction_data_collection, epoch_prediction_batch_size, latent_size, backend) and returns: return_callbacks