class_docstr: Simple CNN model for classifcation task.
class_docstr_tok: ["Simple","CNN","model","for","classifcation","task","."]
code: def default_flax_model_config(self) -> ml_collections.ConfigDict:
      return ml_collections.ConfigDict(
          dict(
              num_filters=[20, 10],
              kernel_sizes=[3, 3],
              data_dtype_str="float32",
          )
      )
  
file_path: scenic/scenic/projects/baselines/simple_cnn.py
imports: from typing import Iterable, Callable, Sequence, Optional, Union
  import flax.linen
  from jax.nn import initializers
  import jax.numpy
  import ml_collections
  from scenic.model_lib.base_models.classification_model import ClassificationModel
  from scenic.model_lib.base_models.segmentation_model import SegmentationModel
  from scenic.model_lib.layers import nn_layers
label_desc: Use image node_id 2 for calling the SimpleCNNClassificationModel obj's underlying member method code with example usage: obj.default_flax_model_config() and returns: ml_collections