title: how to use dropout in densenet-121 layer?
body: <p>I am using densenet-121 model from scratch to create the model for image classification problem. the code is shown below:</p>
  <pre><code>def bn_r1_conv(x,filters,kernel=1,strides = 1):
      x = BatchNormalization()(x)
      x = ReLU()(x)
      x = Conv2D(filters,kernel,strides = strides,padding = 'same')(x)
      #x = Drop_out(x, rate=0.2)
      x = tf.keras.layers.Dropout(0.2)(x)
      return x
  def dense_block(x,repetition):
      for _ in range(repetition):
          y = bn_r1_conv(x,4*filters)
          y = bn_r1_conv(y,filters,3)
          x = concatenate([y,x])
      return x
  def transition_layer(x):
      x = bn_r1_conv(x,K.int_shape(x)[-1]//2)
      x = AvgPool2D(3,strides = 2,padding = 'same')(x)
      return x
  </code></pre>
  <p>My model is overfitting. so I want to use dropout in the model. It would be helpful if someone fix my problem.
  thanks in advance.</p>