code: def deepen(self, loc, new_layer_config, input_dim):
      miniblock_idx = loc["miniblock"]
      for _i in range(0, miniblock_idx):
          input_dim += self.miniblocks[_i].out_features_dim
      return self.miniblocks[miniblock_idx].deepen(
          loc, new_layer_config, input_dim
      )
  
imports: import tensorflow
  from .basic_model import BasicModel
  from .layers import ConvLayer, FCLayer, PoolLayer, get_magnifier, apply_noise
  from ..data_providers.base_provider import DataProvider
  from .layer_cascade import LayerCascade
  from .layer_multi_branch import LayerMultiBranch
  import numpy
label_desc: Use image node_id 13 for calling the DenseBlock obj's underlying member method code with example usage: obj.deepen(loc, new_layer_config, input_dim) and returns: self