class_docstr: Optimizer that implements COCOB Backprop Algorithm
  
      Reference:
          - [COntinuos COin Betting (COCOB) Backprop optimizer
  ](https://arxiv.org/abs/1705.07795)
code: def _create_slots(self, var_list):
      for v in var_list:
          self.add_slot(
              v, "lr", initializer=tf.keras.initializers.Constant(1e-8)
          )
          self.add_slot(v, "grad_norm_sum")
          self.add_slot(v, "gradients_sum")
          self.add_slot(v, "tilde_w")
          self.add_slot(v, "reward")
  
file_path: addons/tensorflow_addons/optimizers/cocob.py
imports: from typeguard import typechecked
  import tensorflow
  from tensorflow_addons.optimizers import KerasLegacyOptimizer
label_desc: Use image node_id 2 for calling the COCOB obj's underlying member method code with example usage: obj._create_slots(var_list) without return types