title: How can we plot accuracy and loss graphs from a Keras model saved earlier?
body: <p>Is there a way to plot accuracy and loss graphs from the CNN model saved earlier?
  Or can we only plot graphs during training and evaluating the model?</p>
  
  <pre><code>model = Sequential()
  model.add(Conv2D(32, kernel_size=(3, 3),
                   activation='relu',
                   input_shape=input_shape))
  model.add(Conv2D(64, (3, 3), activation='relu'))
  model.add(MaxPooling2D(pool_size=(2, 2)))
  model.add(Dropout(0.25))
  model.add(Flatten())
  model.add(Dense(128, activation='relu'))
  model.add(Dropout(0.5))
  model.add(Dense(_NUM_CLASSES, activation='softmax'))
  model.compile(optimizer='rmsprop', loss='categorical_crossentropy',metrics= 
                ["accuracy"])
  model.fit(x_train, y_train,
            batch_size=_BATCH_SIZE,
            epochs=_EPOCHS,
            verbose=1,
            validation_data=(x_test, y_test))
  score = model.evaluate(x_test, y_test, verbose=0)
  model.save('model.h5')
  </code></pre>