用Python计算Keras神经网络的精度

import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import np_utils

# 假设我们的输入数据是X，输出数据是Y
# 对于分类问题，我们需要对Y进行one-hot编码
# 并将输入数据X进行标准化处理（如果需要）

model = Sequential()
model.add(Dense(units=64, activation='relu', input_dim=input_dim))
model.add(Dense(units=10, activation='softmax'))

model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(X_train, Y_train, epochs=10, batch_size=32)

loss, accuracy = model.evaluate(X_test, Y_test)