class_docstr: A simple Multilayer perceptron with 1 hidden layer.
  
  Attributes:
    hidden_size: The size of the hidden layer.
    output_size: The size of the output.
    activation: The activation function to apply to the hidden layer.
    dropout_rate: The dropout rate applied to the hidden layer.
    output_bias: If False, do not use a bias term in the last layer.
    deterministic: Disables dropout if set to True.
code: def setup(self):
      self.intermediate_layer = nn.Dense(self.hidden_size)
      self.output_layer = nn.Dense(
          self.output_size, use_bias=self.output_bias
      )
      self.dropout_layer = nn.Dropout(rate=self.dropout_rate)
  
imports: from __future__ import annotations
  import functools
  from typing import Any, Callable, Optional
  from flax import linen
  import jax
  from jax import numpy
  from jax._src.typing import Array
label_desc: Use image node_id 1 for calling the MLP obj's underlying member method code with example usage: obj.setup() without return types