title: Change learning rate in Keras once loss stop decreasing
body: <p>I'm new to deep learning.</p>
  <p>I have build a small architecture and compiling it using Adam optimizer as shown below:</p>
  <pre><code>model.compile(optimizer=Adam(learning_rate=0.0001), loss=&quot;mse&quot;)
  #Train it by providing training images
  
  model.fit(x, x, epochs=10, batch_size=16)
  </code></pre>
  <p>Now i'm aware of all type of decay where I can change learning rate at some epoch, but is there a way where I can change my learning rate automatically once my loss stop decreasing.</p>
  <p>PS: It might be silly ques but please don't be harsh on me as I'm new!</p>