title: Reset all weights and biases of the model in Keras (restore the model after training)
body: <p>Suppose that I have something like this.</p>
  
  <pre><code>model = Sequential()
  model.add(LSTM(units = 10 input_shape = (x1, x2)))
  model.add(Activation('tanh'))
  model.compile(optimizer = 'adam', loss = 'mse')
  
  ## Step 1.
  model.fit(X_train, Y_train, epochs = 10)
  </code></pre>
  
  <p>After training the model, I want to reset everything (weights and biases) in the model. So I want to restore the model after <code>compile</code> function (Step 1). What is the fastest way to that in Keras?</p>