Tensorflow是一个基于数据流编程（Dataflow Programming）的符号数学系统，被广泛应用于各类机器学习（Machine Learning）算法的编程实现，其前身是谷歌的神经网络算法库DistBelief。MNIST数据集是机器学习领域中非常经典的一个数据集，由60000个训练样本和10000个测试样本组成，每个样本都是一张28*28像素的灰度手写数字图片。

完整代码（TensorFlow 2.0.0-RC0）如下：

#!/usr/bin/env python
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"]='2'import tensorflow as tf# 打印TensorFlow版本号
print(tf.__name__, tf.__version__)# 下载MNIST数据集
(x_train_all, y_train_all), (x_test, y_test) = tf.keras.datasets.mnist.load_data()# 预处理数据 [0, 255] => [0.0, 1.0]
x_train_all, x_test = x_train_all / 255.0, x_test / 255.0# 分割数据60000条数据集，前5000条为验证数据集，后55000条为训练数据集
x_valid, x_train = x_train_all[:5000], x_train_all[5000:]
y_valid, y_train = y_train_all[:5000], y_train_all[5000:]# 构建全连接神经网络模型
model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Flatten(input_shape=(28, 28)))
model.add(tf.keras.layers.Dense(256, activation='relu'))
model.add(tf.keras.layers.Dense(128, activation='relu'))
model.add(tf.keras.layers.Dropout(0.2))
model.add(tf.keras.layers.Dense(10, activation='softmax'))# 编译模型
model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy'])# 训练模型
model.fit(x_train, y_train, epochs=10, validation_data=(x_valid, y_valid))# 评估模型
model.evaluate(x_test, y_test)

运行结果如下：

tensorflow 2.0.0-rc0
Train on 55000 samples, validate on 5000 samples
Epoch 1/1032/55000 [..............................] - ETA: 12:36 - loss: 2.3241 - accuracy: 0.0312736/55000 [..............................] - ETA: 36s - loss: 1.6744 - accuracy: 0.4837  1472/55000 [..............................] - ETA: 19s - loss: 1.2319 - accuracy: 0.62572208/55000 [>.............................] - ETA: 14s - loss: 1.0136 - accuracy: 0.68932944/55000 [>.............................] - ETA: 11s - loss: 0.8826 - accuracy: 0.72793712/55000 [=>............................] - ETA: 9s - loss: 0.7942 - accuracy: 0.7548 4416/55000 [=>............................] - ETA: 8s - loss: 0.7364 - accuracy: 0.77205152/55000 [=>............................] - ETA: 7s - loss: 0.6807 - accuracy: 0.78695920/55000 [==>...........................] - ETA: 7s - loss: 0.6410 - accuracy: 0.80086720/55000 [==>...........................] - ETA: 6s - loss: 0.6054 - accuracy: 0.81297488/55000 [===>..........................] - ETA: 6s - loss: 0.5759 - accuracy: 0.82338288/55000 [===>..........................] - ETA: 5s - loss: 0.5529 - accuracy: 0.83079088/55000 [===>..........................] - ETA: 5s - loss: 0.5291 - accuracy: 0.83799888/55000 [====>.........................] - ETA: 5s - loss: 0.5088 - accuracy: 0.8439
10688/55000 [====>.........................] - ETA: 4s - loss: 0.4923 - accuracy: 0.8502
11488/55000 [=====>........................] - ETA: 4s - loss: 0.4774 - accuracy: 0.8549
12288/55000 [=====>........................] - ETA: 4s - loss: 0.4635 - accuracy: 0.8587
13088/55000 [======>.......................] - ETA: 4s - loss: 0.4506 - accuracy: 0.8632
13856/55000 [======>.......................] - ETA: 4s - loss: 0.4418 - accuracy: 0.8662
14656/55000 [======>.......................] - ETA: 3s - loss: 0.4293 - accuracy: 0.8697
15456/55000 [=======>......................] - ETA: 3s - loss: 0.4201 - accuracy: 0.8727
16256/55000 [=======>......................] - ETA: 3s - loss: 0.4108 - accuracy: 0.8754
16992/55000 [========>.....................] - ETA: 3s - loss: 0.4016 - accuracy: 0.8784
17792/55000 [========>.....................] - ETA: 3s - loss: 0.3926 - accuracy: 0.8808
18592/55000 [=========>....................] - ETA: 3s - loss: 0.3851 - accuracy: 0.8832
19360/55000 [=========>....................] - ETA: 3s - loss: 0.3780 - accuracy: 0.8854
20128/55000 [=========>....................] - ETA: 3s - loss: 0.3704 - accuracy: 0.8875
20928/55000 [==========>...................] - ETA: 2s - loss: 0.3649 - accuracy: 0.8891
21696/55000 [==========>...................] - ETA: 2s - loss: 0.3605 - accuracy: 0.8906
22496/55000 [===========>..................] - ETA: 2s - loss: 0.3541 - accuracy: 0.8926
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25632/55000 [============>.................] - ETA: 2s - loss: 0.3329 - accuracy: 0.8992
26400/55000 [=============>................] - ETA: 2s - loss: 0.3290 - accuracy: 0.9002
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28000/55000 [==============>...............] - ETA: 2s - loss: 0.3206 - accuracy: 0.9028
28768/55000 [==============>...............] - ETA: 2s - loss: 0.3176 - accuracy: 0.9035
29536/55000 [===============>..............] - ETA: 2s - loss: 0.3143 - accuracy: 0.9046
30336/55000 [===============>..............] - ETA: 1s - loss: 0.3102 - accuracy: 0.9060
31136/55000 [===============>..............] - ETA: 1s - loss: 0.3064 - accuracy: 0.9071
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32736/55000 [================>.............] - ETA: 1s - loss: 0.3001 - accuracy: 0.9092
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34176/55000 [=================>............] - ETA: 1s - loss: 0.2932 - accuracy: 0.9114
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42304/55000 [======================>.......] - ETA: 0s - loss: 0.2678 - accuracy: 0.9192
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49856/55000 [==========================>...] - ETA: 0s - loss: 0.2515 - accuracy: 0.9244
50624/55000 [==========================>...] - ETA: 0s - loss: 0.2497 - accuracy: 0.9249
51392/55000 [===========================>..] - ETA: 0s - loss: 0.2480 - accuracy: 0.9254
52128/55000 [===========================>..] - ETA: 0s - loss: 0.2469 - accuracy: 0.9256
52832/55000 [===========================>..] - ETA: 0s - loss: 0.2451 - accuracy: 0.9261
53600/55000 [============================>.] - ETA: 0s - loss: 0.2437 - accuracy: 0.9266
54400/55000 [============================>.] - ETA: 0s - loss: 0.2421 - accuracy: 0.9271
55000/55000 [==============================] - 4s 80us/sample - loss: 0.2409 - accuracy: 0.9275 - val_loss: 0.1166 - val_accuracy: 0.9646
Epoch 2/1032/55000 [..............................] - ETA: 5s - loss: 0.1135 - accuracy: 0.9688736/55000 [..............................] - ETA: 3s - loss: 0.1157 - accuracy: 0.97011440/55000 [..............................] - ETA: 3s - loss: 0.1066 - accuracy: 0.97012144/55000 [>.............................] - ETA: 3s - loss: 0.1001 - accuracy: 0.97062880/55000 [>.............................] - ETA: 3s - loss: 0.1073 - accuracy: 0.96743648/55000 [>.............................] - ETA: 3s - loss: 0.1026 - accuracy: 0.96824416/55000 [=>............................] - ETA: 3s - loss: 0.0989 - accuracy: 0.96925152/55000 [=>............................] - ETA: 3s - loss: 0.0989 - accuracy: 0.96955952/55000 [==>...........................] - ETA: 3s - loss: 0.1006 - accuracy: 0.96896720/55000 [==>...........................] - ETA: 3s - loss: 0.1008 - accuracy: 0.96907488/55000 [===>..........................] - ETA: 3s - loss: 0.0999 - accuracy: 0.96968288/55000 [===>..........................] - ETA: 3s - loss: 0.1004 - accuracy: 0.96979056/55000 [===>..........................] - ETA: 3s - loss: 0.0998 - accuracy: 0.97029824/55000 [====>.........................] - ETA: 3s - loss: 0.0992 - accuracy: 0.9701
10592/55000 [====>.........................] - ETA: 3s - loss: 0.0986 - accuracy: 0.9700
11392/55000 [=====>........................] - ETA: 2s - loss: 0.0994 - accuracy: 0.9698
12128/55000 [=====>........................] - ETA: 2s - loss: 0.1004 - accuracy: 0.9694
12928/55000 [======>.......................] - ETA: 2s - loss: 0.1007 - accuracy: 0.9692
13728/55000 [======>.......................] - ETA: 2s - loss: 0.0990 - accuracy: 0.9698
14464/55000 [======>.......................] - ETA: 2s - loss: 0.0989 - accuracy: 0.9699
15264/55000 [=======>......................] - ETA: 2s - loss: 0.0980 - accuracy: 0.9703
16064/55000 [=======>......................] - ETA: 2s - loss: 0.0982 - accuracy: 0.9701
16864/55000 [========>.....................] - ETA: 2s - loss: 0.1002 - accuracy: 0.9689
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19936/55000 [=========>....................] - ETA: 2s - loss: 0.1013 - accuracy: 0.9688
20704/55000 [==========>...................] - ETA: 2s - loss: 0.1010 - accuracy: 0.9691
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25376/55000 [============>.................] - ETA: 1s - loss: 0.1000 - accuracy: 0.9694
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27776/55000 [==============>...............] - ETA: 1s - loss: 0.1003 - accuracy: 0.9690
28576/55000 [==============>...............] - ETA: 1s - loss: 0.1005 - accuracy: 0.9689
29376/55000 [===============>..............] - ETA: 1s - loss: 0.1008 - accuracy: 0.9687
30176/55000 [===============>..............] - ETA: 1s - loss: 0.1004 - accuracy: 0.9689
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32480/55000 [================>.............] - ETA: 1s - loss: 0.1001 - accuracy: 0.9691
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40192/55000 [====================>.........] - ETA: 0s - loss: 0.0999 - accuracy: 0.9691
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44192/55000 [=======================>......] - ETA: 0s - loss: 0.1007 - accuracy: 0.9689
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45792/55000 [=======================>......] - ETA: 0s - loss: 0.0999 - accuracy: 0.9691
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47392/55000 [========================>.....] - ETA: 0s - loss: 0.0997 - accuracy: 0.9692
48128/55000 [=========================>....] - ETA: 0s - loss: 0.0997 - accuracy: 0.9692
48896/55000 [=========================>....] - ETA: 0s - loss: 0.0996 - accuracy: 0.9692
49664/55000 [==========================>...] - ETA: 0s - loss: 0.0994 - accuracy: 0.9693
50432/55000 [==========================>...] - ETA: 0s - loss: 0.0996 - accuracy: 0.9693
51232/55000 [==========================>...] - ETA: 0s - loss: 0.0999 - accuracy: 0.9692
52032/55000 [===========================>..] - ETA: 0s - loss: 0.1004 - accuracy: 0.9691
52832/55000 [===========================>..] - ETA: 0s - loss: 0.1005 - accuracy: 0.9690
53600/55000 [============================>.] - ETA: 0s - loss: 0.1013 - accuracy: 0.9689
54400/55000 [============================>.] - ETA: 0s - loss: 0.1013 - accuracy: 0.9689
55000/55000 [==============================] - 4s 69us/sample - loss: 0.1013 - accuracy: 0.9688 - val_loss: 0.0875 - val_accuracy: 0.9730
Epoch 3/1032/55000 [..............................] - ETA: 5s - loss: 0.0327 - accuracy: 1.0000800/55000 [..............................] - ETA: 3s - loss: 0.0693 - accuracy: 0.98001600/55000 [..............................] - ETA: 3s - loss: 0.0682 - accuracy: 0.97752304/55000 [>.............................] - ETA: 3s - loss: 0.0687 - accuracy: 0.97663040/55000 [>.............................] - ETA: 3s - loss: 0.0646 - accuracy: 0.97803744/55000 [=>............................] - ETA: 3s - loss: 0.0662 - accuracy: 0.97764480/55000 [=>............................] - ETA: 3s - loss: 0.0658 - accuracy: 0.97775184/55000 [=>............................] - ETA: 3s - loss: 0.0655 - accuracy: 0.97745888/55000 [==>...........................] - ETA: 3s - loss: 0.0644 - accuracy: 0.97846592/55000 [==>...........................] - ETA: 3s - loss: 0.0620 - accuracy: 0.97957296/55000 [==>...........................] - ETA: 3s - loss: 0.0639 - accuracy: 0.97888064/55000 [===>..........................] - ETA: 3s - loss: 0.0643 - accuracy: 0.97858864/55000 [===>..........................] - ETA: 3s - loss: 0.0676 - accuracy: 0.97829632/55000 [====>.........................] - ETA: 3s - loss: 0.0679 - accuracy: 0.9785
10400/55000 [====>.........................] - ETA: 3s - loss: 0.0676 - accuracy: 0.9783
11200/55000 [=====>........................] - ETA: 3s - loss: 0.0675 - accuracy: 0.9781
12000/55000 [=====>........................] - ETA: 2s - loss: 0.0672 - accuracy: 0.9785
12800/55000 [=====>........................] - ETA: 2s - loss: 0.0681 - accuracy: 0.9781
13600/55000 [======>.......................] - ETA: 2s - loss: 0.0672 - accuracy: 0.9784
14400/55000 [======>.......................] - ETA: 2s - loss: 0.0679 - accuracy: 0.9783
15200/55000 [=======>......................] - ETA: 2s - loss: 0.0684 - accuracy: 0.9780
16000/55000 [=======>......................] - ETA: 2s - loss: 0.0676 - accuracy: 0.9783
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54464/55000 [============================>.] - ETA: 0s - loss: 0.0709 - accuracy: 0.9777
55000/55000 [==============================] - 4s 69us/sample - loss: 0.0708 - accuracy: 0.9777 - val_loss: 0.0758 - val_accuracy: 0.9790
Epoch 4/1032/55000 [..............................] - ETA: 5s - loss: 0.0532 - accuracy: 0.9688800/55000 [..............................] - ETA: 3s - loss: 0.0421 - accuracy: 0.98251600/55000 [..............................] - ETA: 3s - loss: 0.0350 - accuracy: 0.98752400/55000 [>.............................] - ETA: 3s - loss: 0.0384 - accuracy: 0.98623200/55000 [>.............................] - ETA: 3s - loss: 0.0374 - accuracy: 0.98694000/55000 [=>............................] - ETA: 3s - loss: 0.0381 - accuracy: 0.98754800/55000 [=>............................] - ETA: 3s - loss: 0.0349 - accuracy: 0.98945600/55000 [==>...........................] - ETA: 3s - loss: 0.0364 - accuracy: 0.98876400/55000 [==>...........................] - ETA: 3s - loss: 0.0380 - accuracy: 0.98837200/55000 [==>...........................] - ETA: 3s - loss: 0.0387 - accuracy: 0.98788000/55000 [===>..........................] - ETA: 3s - loss: 0.0390 - accuracy: 0.98728800/55000 [===>..........................] - ETA: 2s - loss: 0.0398 - accuracy: 0.98729600/55000 [====>.........................] - ETA: 2s - loss: 0.0424 - accuracy: 0.9855
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55000/55000 [==============================] - 4s 68us/sample - loss: 0.0538 - accuracy: 0.9823 - val_loss: 0.0793 - val_accuracy: 0.9792
Epoch 5/1032/55000 [..............................] - ETA: 5s - loss: 0.0048 - accuracy: 1.0000832/55000 [..............................] - ETA: 3s - loss: 0.0287 - accuracy: 0.98921632/55000 [..............................] - ETA: 3s - loss: 0.0304 - accuracy: 0.99022432/55000 [>.............................] - ETA: 3s - loss: 0.0308 - accuracy: 0.98933232/55000 [>.............................] - ETA: 3s - loss: 0.0311 - accuracy: 0.99014032/55000 [=>............................] - ETA: 3s - loss: 0.0370 - accuracy: 0.98834800/55000 [=>............................] - ETA: 3s - loss: 0.0380 - accuracy: 0.98795600/55000 [==>...........................] - ETA: 3s - loss: 0.0363 - accuracy: 0.98826400/55000 [==>...........................] - ETA: 3s - loss: 0.0360 - accuracy: 0.98847200/55000 [==>...........................] - ETA: 3s - loss: 0.0377 - accuracy: 0.98758000/55000 [===>..........................] - ETA: 3s - loss: 0.0391 - accuracy: 0.98708768/55000 [===>..........................] - ETA: 2s - loss: 0.0384 - accuracy: 0.98729536/55000 [====>.........................] - ETA: 2s - loss: 0.0370 - accuracy: 0.9878
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55000/55000 [==============================] - 4s 68us/sample - loss: 0.0423 - accuracy: 0.9856 - val_loss: 0.0757 - val_accuracy: 0.9772
Epoch 6/1032/55000 [..............................] - ETA: 5s - loss: 0.0050 - accuracy: 1.0000768/55000 [..............................] - ETA: 4s - loss: 0.0242 - accuracy: 0.99221568/55000 [..............................] - ETA: 3s - loss: 0.0278 - accuracy: 0.99112368/55000 [>.............................] - ETA: 3s - loss: 0.0281 - accuracy: 0.99073168/55000 [>.............................] - ETA: 3s - loss: 0.0265 - accuracy: 0.99053936/55000 [=>............................] - ETA: 3s - loss: 0.0256 - accuracy: 0.99014736/55000 [=>............................] - ETA: 3s - loss: 0.0249 - accuracy: 0.99035536/55000 [==>...........................] - ETA: 3s - loss: 0.0241 - accuracy: 0.99116336/55000 [==>...........................] - ETA: 3s - loss: 0.0253 - accuracy: 0.99107136/55000 [==>...........................] - ETA: 3s - loss: 0.0265 - accuracy: 0.99107936/55000 [===>..........................] - ETA: 3s - loss: 0.0268 - accuracy: 0.99138736/55000 [===>..........................] - ETA: 3s - loss: 0.0260 - accuracy: 0.99169536/55000 [====>.........................] - ETA: 2s - loss: 0.0259 - accuracy: 0.9915
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55000/55000 [==============================] - 4s 68us/sample - loss: 0.0348 - accuracy: 0.9888 - val_loss: 0.0853 - val_accuracy: 0.9792
Epoch 7/1032/55000 [..............................] - ETA: 5s - loss: 0.0057 - accuracy: 1.0000832/55000 [..............................] - ETA: 3s - loss: 0.0387 - accuracy: 0.98681632/55000 [..............................] - ETA: 3s - loss: 0.0307 - accuracy: 0.99022432/55000 [>.............................] - ETA: 3s - loss: 0.0271 - accuracy: 0.99183232/55000 [>.............................] - ETA: 3s - loss: 0.0252 - accuracy: 0.99294032/55000 [=>............................] - ETA: 3s - loss: 0.0240 - accuracy: 0.99314768/55000 [=>............................] - ETA: 3s - loss: 0.0228 - accuracy: 0.99375568/55000 [==>...........................] - ETA: 3s - loss: 0.0220 - accuracy: 0.99416368/55000 [==>...........................] - ETA: 3s - loss: 0.0234 - accuracy: 0.99397168/55000 [==>...........................] - ETA: 3s - loss: 0.0242 - accuracy: 0.99377936/55000 [===>..........................] - ETA: 3s - loss: 0.0260 - accuracy: 0.99298736/55000 [===>..........................] - ETA: 2s - loss: 0.0256 - accuracy: 0.99309536/55000 [====>.........................] - ETA: 2s - loss: 0.0254 - accuracy: 0.9926
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55000/55000 [==============================] - 4s 68us/sample - loss: 0.0315 - accuracy: 0.9897 - val_loss: 0.0797 - val_accuracy: 0.9802
Epoch 8/1032/55000 [..............................] - ETA: 5s - loss: 0.0419 - accuracy: 1.0000832/55000 [..............................] - ETA: 3s - loss: 0.0173 - accuracy: 0.99521632/55000 [..............................] - ETA: 3s - loss: 0.0157 - accuracy: 0.99512432/55000 [>.............................] - ETA: 3s - loss: 0.0135 - accuracy: 0.99553232/55000 [>.............................] - ETA: 3s - loss: 0.0151 - accuracy: 0.99504032/55000 [=>............................] - ETA: 3s - loss: 0.0151 - accuracy: 0.99504832/55000 [=>............................] - ETA: 3s - loss: 0.0171 - accuracy: 0.99445632/55000 [==>...........................] - ETA: 3s - loss: 0.0176 - accuracy: 0.99416432/55000 [==>...........................] - ETA: 3s - loss: 0.0164 - accuracy: 0.99447232/55000 [==>...........................] - ETA: 3s - loss: 0.0177 - accuracy: 0.99358032/55000 [===>..........................] - ETA: 3s - loss: 0.0195 - accuracy: 0.99248832/55000 [===>..........................] - ETA: 2s - loss: 0.0202 - accuracy: 0.99219568/55000 [====>.........................] - ETA: 2s - loss: 0.0214 - accuracy: 0.9920
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55000/55000 [==============================] - 4s 68us/sample - loss: 0.0230 - accuracy: 0.9925 - val_loss: 0.0864 - val_accuracy: 0.9802
Epoch 9/1032/55000 [..............................] - ETA: 5s - loss: 0.0439 - accuracy: 1.0000800/55000 [..............................] - ETA: 3s - loss: 0.0231 - accuracy: 0.99371600/55000 [..............................] - ETA: 3s - loss: 0.0326 - accuracy: 0.99192400/55000 [>.............................] - ETA: 3s - loss: 0.0319 - accuracy: 0.99173200/55000 [>.............................] - ETA: 3s - loss: 0.0299 - accuracy: 0.99164000/55000 [=>............................] - ETA: 3s - loss: 0.0319 - accuracy: 0.99054800/55000 [=>............................] - ETA: 3s - loss: 0.0294 - accuracy: 0.99105600/55000 [==>...........................] - ETA: 3s - loss: 0.0281 - accuracy: 0.99126400/55000 [==>...........................] - ETA: 3s - loss: 0.0276 - accuracy: 0.99177200/55000 [==>...........................] - ETA: 3s - loss: 0.0277 - accuracy: 0.99148000/55000 [===>..........................] - ETA: 3s - loss: 0.0282 - accuracy: 0.99128800/55000 [===>..........................] - ETA: 2s - loss: 0.0287 - accuracy: 0.99119600/55000 [====>.........................] - ETA: 2s - loss: 0.0282 - accuracy: 0.9916
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55000/55000 [==============================] - 4s 68us/sample - loss: 0.0240 - accuracy: 0.9923 - val_loss: 0.1497 - val_accuracy: 0.9720
Epoch 10/1032/55000 [..............................] - ETA: 5s - loss: 0.0166 - accuracy: 1.0000832/55000 [..............................] - ETA: 3s - loss: 0.0260 - accuracy: 0.99041632/55000 [..............................] - ETA: 3s - loss: 0.0246 - accuracy: 0.99022432/55000 [>.............................] - ETA: 3s - loss: 0.0186 - accuracy: 0.99263232/55000 [>.............................] - ETA: 3s - loss: 0.0182 - accuracy: 0.99354000/55000 [=>............................] - ETA: 3s - loss: 0.0191 - accuracy: 0.99304768/55000 [=>............................] - ETA: 3s - loss: 0.0233 - accuracy: 0.99225440/55000 [=>............................] - ETA: 3s - loss: 0.0247 - accuracy: 0.99176240/55000 [==>...........................] - ETA: 3s - loss: 0.0249 - accuracy: 0.99127040/55000 [==>...........................] - ETA: 3s - loss: 0.0235 - accuracy: 0.99167840/55000 [===>..........................] - ETA: 3s - loss: 0.0241 - accuracy: 0.99168640/55000 [===>..........................] - ETA: 3s - loss: 0.0251 - accuracy: 0.99169440/55000 [====>.........................] - ETA: 2s - loss: 0.0263 - accuracy: 0.9913
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