title: What is the use of verbose in Keras while validating the model?
body: <p>I'm running the LSTM model for the first time.
  Here is my model:</p>
  
  <pre><code>opt = Adam(0.002)
  inp = Input(...)
  print(inp)
  x = Embedding(....)(inp)
  x = LSTM(...)(x)
  x = BatchNormalization()(x)
  pred = Dense(5,activation='softmax')(x)
  
  model = Model(inp,pred)
  model.compile(....)
  
  idx = np.random.permutation(X_train.shape[0])
  model.fit(X_train[idx], y_train[idx], nb_epoch=1, batch_size=128, verbose=1)
  </code></pre>
  
  <p>What is the use of verbose while training the model?</p>