如何在深度学习模型LSTM的准确性和损失之间绘制图表？

Question

我正在使用lSTM深度学习模型，我想查看该图形以进行面糊可视化， 卑鄙的人。

model = Sequential()
model.add(Embedding(top_words, embedding_vecor_length, input_length=max_review_length))
model.add(Bidirectional(LSTM(100)))
model.add(Dense(6, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
print(model.summary())
model.fit(X_train, Y_train, epochs=5, batch_size=64)
# Final evaluation of the model
scores = model.evaluate(X_test, Y_test, verbose=0)
print("Accuracy: %.2f%%" % (scores[1]*100))