code: def __init__(self):
      super(CustomModelHidden, self).__init__()
      self.dropout1 = Dropout(keep=0.8)  # (self.innet)
      self.seq = LayerList(
          [
              Dense(n_units=800, act=tf.nn.relu, in_channels=784),
              Dropout(keep=0.8),
              Dense(n_units=800, act=tf.nn.relu, in_channels=800),
          ]
      )
      self.dropout3 = Dropout(keep=0.8)
  
file_path: TensorLayer/examples/basic_tutorials/tutorial_mnist_mlp_dynamic_2.py
imports: import time
  import numpy
  import tensorflow
  import tensorlayer
  from tensorlayer.layers import Dense, Dropout, Input, LayerList
  from tensorlayer.models import Model
label_desc: Use image node_id 1 to create a new CustomModelHidden object from inherited base classes: Model with example: obj = CustomModelHidden()