如何使用python中的keras在tensorflow中编写分类算法？

pip install tensorflow
pip install keras

import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt

model = keras.Sequential([
    keras.layers.Dense(64, activation='relu', input_shape=(input_dim,)),
    keras.layers.Dense(64, activation='relu'),
    keras.layers.Dense(num_classes, activation='softmax')
])

model.compile(optimizer='adam',
              loss='categorical_crossentropy',
              metrics=['accuracy'])

model.fit(train_data, train_labels, epochs=10, batch_size=32)

test_loss, test_acc = model.evaluate(test_data, test_labels)
print('Test accuracy:', test_acc)

predictions = model.predict(test_data)