针对tensorflow2.0的教材

可以参考这个官方教材，不知道之后还能不能访问

https://tensorflow.google.cn/tutorials/quickstart/beginner?hl=zh-cn

教材可以看这里：

https://tensorflow.google.cn/tutorials?hl=zh-cn

要花些时间抓紧学习了，加油！！

model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation='softmax')
])

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

model.fit(x_train, y_train, epochs=5)

model.evaluate(x_test,  y_test, verbose=2)

Epoch 1/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.2962 - accuracy: 0.9155
Epoch 2/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.1420 - accuracy: 0.9581
Epoch 3/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.1064 - accuracy: 0.9672
Epoch 4/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.0885 - accuracy: 0.9730
Epoch 5/5
1875/1875 [==============================] - 3s 2ms/step - loss: 0.0749 - accuracy: 0.9765
313/313 - 0s - loss: 0.0748 - accuracy: 0.9778
[0.07484959065914154, 0.9778000116348267]