使用TensorFlow2实现手写数字识别的代码

可以参考以下代码实现手写数字识别：

import tensorflow as tf
from tensorflow import keras

# 加载数据集
mnist = keras.datasets.mnist
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()

# 数据预处理
train_images = train_images / 255.0
test_images = test_images / 255.0

# 构建模型
model = keras.Sequential([
    keras.layers.Flatten(input_shape=(28, 28)),
    keras.layers.Dense(128, activation='relu'),
    keras.layers.Dense(10)
])

# 编译模型
model.compile(optimizer='adam',
              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
              metrics=['accuracy'])

# 训练模型
model.fit(train_images, train_labels, epochs=10, verbose=2)

# 评估模型
test_loss, test_acc = model.evaluate(test_images,  test_labels, verbose=2)
print('\nTest accuracy:', test_acc)

希望对您有帮助。