Create Tensorboard Callback



    Ken Malley

    Library: tensorflow

    import tensorflow as tf
    import datetime
    def create_tensorboard_callback(dir_name, experiment_name):
      Creates a TensorBoard callback instand to store log files.
      Stores log files with the filepath:
        dir_name: target directory to store TensorBoard log files
        experiment_name: name of experiment directory (e.g. efficientnet_model_1)
      log_dir = dir_name + "/" + experiment_name + "/" +"%Y%m%d-%H%M%S")
      tensorboard_callback = tf.keras.callbacks.TensorBoard(
      print(f"Saving TensorBoard log files to: {log_dir}")
      return tensorboard_callback
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