title: Using Tensorflow Huber loss in Keras
body: <p>I am trying to use huber loss in a keras model (writing DQN), but I am getting bad result, I think I am something doing wrong. My is code is below.</p>
  
  <pre><code>model = Sequential()
  model.add(Dense(output_dim=64, activation='relu', input_dim=state_dim))
  model.add(Dense(output_dim=number_of_actions, activation='linear'))
  loss = tf.losses.huber_loss(delta=1.0)
  model.compile(loss=loss, opt='sgd')
  return model
  </code></pre>