old_contents: # Brain Tumor Classification
  # Script for Hyper Parameters
  # Author: Qixun Qu
  # Create on: 2017/10/14
  # Modify on: 2017/10/14
  
  #     ,,,         ,,,
  #   ;"   ';     ;'   ",
  #   ;  @.ss$$$$$$s.@  ;
  #   `s$$$$$$$$$$$$$$$'
  #   $$$$$$$$$$$$$$$$$$
  #  $$$$P""Y$$$Y""W$$$$$
  #  $$$$  p"$$$"q  $$$$$
  #  $$$$  .$$$$$.  $$$$'
  #   $$$DaU$$O$$DaU$$$'
  #    '$$$$'.^.'$$$$'
  #       '&$$$$$&'
  
  
  import os
  import json
  from btc_settings import *
  
  
  parent_dir = os.path.dirname(os.getcwd())
  tfrecords_dir = os.path.join(parent_dir, DATA_FOLDER, TFRECORDS_FOLDER)
  
  tpath = os.path.join(tfrecords_dir, "partial_train.tfrecord")
  vpath = os.path.join(tfrecords_dir, "partial_validate.tfrecord")
  
  json_path = os.path.join(TEMP_FOLDER, TFRECORDS_FOLDER, VOLUMES_NUM_FILE)
  with open(json_path) as json_file:
      volumes_num = json.load(json_file)
  
  parameters = {
      # Basic settings
      "train_path": tpath,
      "validate_path": vpath,
      "train_num": 236,  # volumes_num["train"],
      "validate_num": 224,  # volumes_num["validate"],
      "classes_num": 3,
      "patch_shape": PATCH_SHAPE,
      "capacity": 350,
      "min_after_dequeue": 300,
      # Hyper-parameters
      "batch_size": 10,
      "num_epoches": 2
  }
  
new_contents: # Brain Tumor Classification
  # Script for Hyper Parameters
  # Author: Qixun Qu
  # Create on: 2017/10/14
  # Modify on: 2017/10/18
  
  #     ,,,         ,,,
  #   ;"   ';     ;'   ",
  #   ;  @.ss$$$$$$s.@  ;
  #   `s$$$$$$$$$$$$$$$'
  #   $$$$$$$$$$$$$$$$$$
  #  $$$$P""Y$$$Y""W$$$$$
  #  $$$$  p"$$$"q  $$$$$
  #  $$$$  .$$$$$.  $$$$'
  #   $$$DaU$$O$$DaU$$$'
  #    '$$$$'.^.'$$$$'
  #       '&$$$$$&'
  
  
  import os
  import json
  from btc_settings import *
  
  
  parent_dir = os.path.dirname(os.getcwd())
  tfrecords_dir = os.path.join(parent_dir, DATA_FOLDER, TFRECORDS_FOLDER)
  
  tpath = os.path.join(tfrecords_dir, "partial_train.tfrecord")
  vpath = os.path.join(tfrecords_dir, "partial_validate.tfrecord")
  
  json_path = os.path.join(TEMP_FOLDER, TFRECORDS_FOLDER, VOLUMES_NUM_FILE)
  with open(json_path) as json_file:
      volumes_num = json.load(json_file)
  
  parameters = {
      # Basic settings
      "train_path": tpath,
      "validate_path": vpath,
      "train_num": 236,  # volumes_num["train"],
      "validate_num": 224,  # volumes_num["validate"],
      "classes_num": 3,
      "patch_shape": PATCH_SHAPE,
      "capacity": 350,
      "min_after_dequeue": 300,
      # Hyper-parameters
      "batch_size": 10,
      "num_epoches": 1,
      "activation": "relu",  # "lrelu",
      "alpha": 0.2  # for "lrelu"
  }
  
subject: Add hyper-parameters for activation method