Python深度学习之分类模型示例 MNIST数据集手写数字识别

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。

我们把60000个训练样本分成两部分，前5000个为验证样本，后55000为训练样本。代码基本与Tensorflow官方一致，完整代码如下：（TensorFlow版本: 1.14.0，其它版本或许有差异）

#!/usr/bin/env pythonimport osimport tensorflow as tfos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'pat.v1.enable_eager_execution()print("TensorFlow Version:\t", tf.__version__)mnist = tf.keras.datasets.mnist(x_train_all, y_train_all), (x_test, y_test) = mnist.load_data()x_train_all, x_test = x_train_all / 255.0, x_test / 255.0x_valid, x_train = x_train_all[:5000], x_train_all[5000:]y_valid, y_train = y_train_all[:5000], y_train_all[5000:]model = tf.keras.models.Sequential()model.add(tf.keras.layers.Flatten(input_shape=(28, 28)))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'))pile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy'],)model.fit(x_train, y_train, epochs=5, validation_data=(x_valid, y_valid))model.evaluate(x_test, y_test)

输出结果如下：

"C:\Program Files\Python\Python37\python.exe" "D:/Pycharm Projects/MLDemo/MLDemo.py"TensorFlow Version: 1.14.0Train on 55000 samples, validate on 5000 samplesEpoch 1/532/55000 [..............................] - ETA: 2:58 - loss: 2.4444 - acc: 0.12501056/55000 [..............................] - ETA: 7s - loss: 1.6515 - acc: 0.4848 2080/55000 [>.............................] - ETA: 5s - loss: 1.2406 - acc: 0.61923104/55000 [>.............................] - ETA: 4s - loss: 1.0329 - acc: 0.68114192/55000 [=>............................] - ETA: 3s - loss: 0.9097 - acc: 0.72405216/55000 [=>............................] - ETA: 3s - loss: 0.8194 - acc: 0.75106240/55000 [==>...........................] - ETA: 3s - loss: 0.7554 - acc: 0.77087168/55000 [==>...........................] - ETA: 3s - loss: 0.7100 - acc: 0.78468288/55000 [===>..........................] - ETA: 2s - loss: 0.6664 - acc: 0.79869376/55000 [====>.........................] - ETA: 2s - loss: 0.6278 - acc: 0.810410528/55000 [====>.........................] - ETA: 2s - loss: 0.6004 - acc: 0.818111584/55000 [=====>........................] - ETA: 2s - loss: 0.5733 - acc: 0.826612672/55000 [=====>........................] - ETA: 2s - loss: 0.5568 - acc: 0.83792/55000 [======>.......................] - ETA: 2s - loss: 0.5393 - acc: 0.838114912/55000 [=======>......................] - ETA: 2s - loss: 0.5257 - acc: 0.842515904/55000 [=======>......................] - ETA: 2s - loss: 0.5144 - acc: 0.846216928/55000 [========>.....................] - ETA: 2s - loss: 0.5006 - acc: 0.850618048/55000 [========>.....................] - ETA: 1s - loss: 0.4886 - acc: 0.854319200/55000 [=========>....................] - ETA: 1s - loss: 0.4773 - acc: 0.857320256/55000 [==========>...................] - ETA: 1s - loss: 0.4660 - acc: 0.860921344/55000 [==========>...................] - ETA: 1s - loss: 0.4550 - acc: 0.863922464/55000 [===========>..................] - ETA: 1s - loss: 0.4442 - acc: 0.867423584/55000 [===========>..................] - ETA: 1s - loss: 0.4363 - acc: 0.869824608/55000 [============>.................] - ETA: 1s - loss: 0.4298 - acc: 0.871725696/55000 [=============>................] - ETA: 1s - loss: 0.4223 - acc: 0.874226816/55000 [=============>................] - ETA: 1s - loss: 0.4147 - acc: 0.876427968/55000 [==============>...............] - ETA: 1s - loss: 0.4070 - acc: 0.878429120/55000 [==============>...............] - ETA: 1s - loss: 0.4006 - acc: 0.880530240/55000 [===============>..............] - ETA: 1s - loss: 0.3949 - acc: 0.882431360/55000 [================>.............] - ETA: 1s - loss: 0.3903 - acc: 0.883832512/55000 [================>.............] - ETA: 1s - loss: 0.3842 - acc: 0.885833696/55000 [=================>............] - ETA: 1s - loss: 0.3797 - acc: 0.887234720/55000 [=================>............] - ETA: 1s - loss: 0.3743 - acc: 0.888635776/55000 [==================>...........] - ETA: 0s - loss: 0.3699 - acc: 0.890036864/55000 [===================>..........] - ETA: 0s - loss: 0.3651 - acc: 0.891438016/55000 [===================>..........] - ETA: 0s - loss: 0.3604 - acc: 0.892839136/55000 [====================>.........] - ETA: 0s - loss: 0.3563 - acc: 0.894040192/55000 [====================>.........] - ETA: 0s - loss: 0.3526 - acc: 0.895141248/55000 [=====================>........] - ETA: 0s - loss: 0.3492 - acc: 0.896242400/55000 [======================>.......] - ETA: 0s - loss: 0.3460 - acc: 0.897343488/55000 [======================>.......] - ETA: 0s - loss: 0.3423 - acc: 0.898444512/55000 [=======================>......] - ETA: 0s - loss: 0.3395 - acc: 0.899345440/55000 [=======================>......] - ETA: 0s - loss: 0.3365 - acc: 0.900246528/55000 [========================>.....] - ETA: 0s - loss: 0.3335 - acc: 0.900847648/55000 [========================>.....] - ETA: 0s - loss: 0.3307 - acc: 0.901748736/55000 [=========================>....] - ETA: 0s - loss: 0.3278 - acc: 0.902749856/55000 [==========================>...] - ETA: 0s - loss: 0.3252 - acc: 0.903550944/55000 [==========================>...] - ETA: 0s - loss: 0.3221 - acc: 0.904551968/55000 [===========================>..] - ETA: 0s - loss: 0.3199 - acc: 0.905153088/55000 [===========================>..] - ETA: 0s - loss: 0.3176 - acc: 0.905954112/55000 [============================>.] - ETA: 0s - loss: 0.3152 - acc: 0.906655000/55000 [==============================] - 3s 55us/sample - loss: 0.3129 - acc: 0.9072 - val_loss: 0.1477 - val_acc: 0.9608Epoch 2/532/55000 [..............................] - ETA: 8s - loss: 0.3416 - acc: 0.87501088/55000 [..............................] - ETA: 2s - loss: 0.2193 - acc: 0.93662144/55000 [>.............................] - ETA: 2s - loss: 0.1951 - acc: 0.94593200/55000 [>.............................] - ETA: 2s - loss: 0.1856 - acc: 0.94914320/55000 [=>............................] - ETA: 2s - loss: 0.1806 - acc: 0.94885376/55000 [=>............................] - ETA: 2s - loss: 0.1830 - acc: 0.94886432/55000 [==>...........................] - ETA: 2s - loss: 0.1749 - acc: 0.94967584/55000 [===>..........................] - ETA: 2s - loss: 0.1707 - acc: 0.94998736/55000 [===>..........................] - ETA: 2s - loss: 0.1692 - acc: 0.94979792/55000 [====>.........................] - ETA: 2s - loss: 0.1684 - acc: 0.950410944/55000 [====>.........................] - ETA: 2s - loss: 0.1671 - acc: 0.950112096/55000 [=====>........................] - ETA: 2s - loss: 0.1670 - acc: 0.950613248/55000 [======>.......................] - ETA: 1s - loss: 0.1670 - acc: 0.950514432/55000 [======>.......................] - ETA: 1s - loss: 0.1661 - acc: 0.950415552/55000 [=======>......................] - ETA: 1s - loss: 0.1682 - acc: 0.950016672/55000 [========>.....................] - ETA: 1s - loss: 0.1671 - acc: 0.950717760/55000 [========>.....................] - ETA: 1s - loss: 0.1675 - acc: 0.950518912/55000 [=========>....................] - ETA: 1s - loss: 0.1660 - acc: 0.951019968/55000 [=========>....................] - ETA: 1s - loss: 0.1662 - acc: 0.951021120/55000 [==========>...................] - ETA: 1s - loss: 0.1653 - acc: 0.951022272/55000 [===========>..................] - ETA: 1s - loss: 0.1640 - acc: 0.951723424/55000 [===========>..................] - ETA: 1s - loss: 0.1633 - acc: 0.952324544/55000 [============>.................] - ETA: 1s - loss: 0.1625 - acc: 0.952725664/55000 [============>.................] - ETA: 1s - loss: 0.1620 - acc: 0.953026688/55000 [=============>................] - ETA: 1s - loss: 0.1619 - acc: 0.953027840/55000 [==============>...............] - ETA: 1s - loss: 0.1611 - acc: 0.953128960/55000 [==============>...............] - ETA: 1s - loss: 0.1620 - acc: 0.952930080/55000 [===============>..............] - ETA: 1s - loss: 0.1619 - acc: 0.952731232/55000 [================>.............] - ETA: 1s - loss: 0.1610 - acc: 0.952932384/55000 [================>.............] - ETA: 1s - loss: 0.1605 - acc: 0.952833472/55000 [=================>............] - ETA: 0s - loss: 0.1595 - acc: 0.953234592/55000 [=================>............] - ETA: 0s - loss: 0.1589 - acc: 0.953335744/55000 [==================>...........] - ETA: 0s - loss: 0.1588 - acc: 0.953436896/55000 [===================>..........] - ETA: 0s - loss: 0.1587 - acc: 0.953438016/55000 [===================>..........] - ETA: 0s - loss: 0.1575 - acc: 0.953739104/55000 [====================>.........] - ETA: 0s - loss: 0.1566 - acc: 0.953940256/55000 [====================>.........] - ETA: 0s - loss: 0.1561 - acc: 0.954141376/55000 [=====================>........] - ETA: 0s - loss: 0.1562 - acc: 0.954142496/55000 [======================>.......] - ETA: 0s - loss: 0.1555 - acc: 0.954243648/55000 [======================>.......] - ETA: 0s - loss: 0.1545 - acc: 0.954344800/55000 [=======================>......] - ETA: 0s - loss: 0.1539 - acc: 0.954345952/55000 [========================>.....] - ETA: 0s - loss: 0.1537 - acc: 0.954447072/55000 [========================>.....] - ETA: 0s - loss: 0.1532 - acc: 0.954548192/55000 [=========================>....] - ETA: 0s - loss: 0.1526 - acc: 0.954849184/55000 [=========================>....] - ETA: 0s - loss: 0.1528 - acc: 0.954850336/55000 [==========================>...] - ETA: 0s - loss: 0.1522 - acc: 0.955051424/55000 [===========================>..] - ETA: 0s - loss: 0.1521 - acc: 0.955152544/55000 [===========================>..] - ETA: 0s - loss: 0.1521 - acc: 0.954953696/55000 [============================>.] - ETA: 0s - loss: 0.1516 - acc: 0.955054848/55000 [============================>.] - ETA: 0s - loss: 0.1510 - acc: 0.955155000/55000 [==============================] - 3s 48us/sample - loss: 0.1512 - acc: 0.9551 - val_loss: 0.1084 - val_acc: 0.9680Epoch 3/532/55000 [..............................] - ETA: 6s - loss: 0.0403 - acc: 1.00001184/55000 [..............................] - ETA: 2s - loss: 0.1262 - acc: 0.96542304/55000 [>.............................] - ETA: 2s - loss: 0.1259 - acc: 0.96613392/55000 [>.............................] - ETA: 2s - loss: 0.1216 - acc: 0.96524544/55000 [=>............................] - ETA: 2s - loss: 0.1202 - acc: 0.96505696/55000 [==>...........................] - ETA: 2s - loss: 0.1192 - acc: 0.96316880/55000 [==>...........................] - ETA: 2s - loss: 0.1125 - acc: 0.96588000/55000 [===>..........................] - ETA: 2s - loss: 0.1099 - acc: 0.96659152/55000 [===>..........................] - ETA: 2s - loss: 0.1088 - acc: 0.966710304/55000 [====>.........................] - ETA: 2s - loss: 0.1080 - acc: 0.966411488/55000 [=====>........................] - ETA: 1s - loss: 0.1066 - acc: 0.967212576/55000 [=====>........................] - ETA: 1s - loss: 0.1069 - acc: 0.967613696/55000 [======>.......................] - ETA: 1s - loss: 0.1061 - acc: 0.967814848/55000 [=======>......................] - ETA: 1s - loss: 0.1069 - acc: 0.967016000/55000 [=======>......................] - ETA: 1s - loss: 0.1075 - acc: 0.966817120/55000 [========>.....................] - ETA: 1s - loss: 0.1084 - acc: 0.966118240/55000 [========>.....................] - ETA: 1s - loss: 0.1079 - acc: 0.966319392/55000 [=========>....................] - ETA: 1s - loss: 0.1081 - acc: 0.966320544/55000 [==========>...................] - ETA: 1s - loss: 0.1076 - acc: 0.966721696/55000 [==========>...................] - ETA: 1s - loss: 0.1069 - acc: 0.966922816/55000 [===========>..................] - ETA: 1s - loss: 0.1070 - acc: 0.966924000/55000 [============>.................] - ETA: 1s - loss: 0.1079 - acc: 0.966725152/55000 [============>.................] - ETA: 1s - loss: 0.1079 - acc: 0.967126272/55000 [=============>................] - ETA: 1s - loss: 0.1083 - acc: 0.967027392/55000 [=============>................] - ETA: 1s - loss: 0.1093 - acc: 0.966728576/55000 [==============>...............] - ETA: 1s - loss: 0.1100 - acc: 0.966729760/55000 [===============>..............] - ETA: 1s - loss: 0.1096 - acc: 0.966830880/55000 [===============>..............] - ETA: 1s - loss: 0.1096 - acc: 0.966932000/55000 [================>.............] - ETA: 1s - loss: 0.1102 - acc: 0.966733120/55000 [=================>............] - ETA: 0s - loss: 0.1100 - acc: 0.966834240/55000 [=================>............] - ETA: 0s - loss: 0.1101 - acc: 0.966935200/55000 [==================>...........] - ETA: 0s - loss: 0.1100 - acc: 0.966836352/55000 [==================>...........] - ETA: 0s - loss: 0.1103 - acc: 0.966737472/55000 [===================>..........] - ETA: 0s - loss: 0.1104 - acc: 0.966638624/55000 [====================>.........] - ETA: 0s - loss: 0.1104 - acc: 0.966839776/55000 [====================>.........] - ETA: 0s - loss: 0.1105 - acc: 0.966840896/55000 [=====================>........] - ETA: 0s - loss: 0.1108 - acc: 0.96684/55000 [=====================>........] - ETA: 0s - loss: 0.1106 - acc: 0.967043168/55000 [======================>.......] - ETA: 0s - loss: 0.1098 - acc: 0.967244320/55000 [=======================>......] - ETA: 0s - loss: 0.1104 - acc: 0.967145440/55000 [=======================>......] - ETA: 0s - loss: 0.1109 - acc: 0.966946496/55000 [========================>.....] - ETA: 0s - loss: 0.1109 - acc: 0.966947648/55000 [========================>.....] - ETA: 0s - loss: 0.1109 - acc: 0.966848800/55000 [=========================>....] - ETA: 0s - loss: 0.1109 - acc: 0.966849920/55000 [==========================>...] - ETA: 0s - loss: 0.1107 - acc: 0.966951040/55000 [==========================>...] - ETA: 0s - loss: 0.1111 - acc: 0.966752192/55000 [===========================>..] - ETA: 0s - loss: 0.1116 - acc: 0.966553344/55000 [============================>.] - ETA: 0s - loss: 0.1115 - acc: 0.966554464/55000 [============================>.] - ETA: 0s - loss: 0.1119 - acc: 0.966555000/55000 [==============================] - 3s 47us/sample - loss: 0.1119 - acc: 0.9664 - val_loss: 0.0966 - val_acc: 0.9714Epoch 4/532/55000 [..............................] - ETA: 5s - loss: 0.0525 - acc: 0.96881184/55000 [..............................] - ETA: 2s - loss: 0.1083 - acc: 0.96452240/55000 [>.............................] - ETA: 2s - loss: 0.0960 - acc: 0.96923360/55000 [>.............................] - ETA: 2s - loss: 0.1016 - acc: 0.96854512/55000 [=>............................] - ETA: 2s - loss: 0.1044 - acc: 0.96945632/55000 [==>...........................] - ETA: 2s - loss: 0.0989 - acc: 0.97146720/55000 [==>...........................] - ETA: 2s - loss: 0.0991 - acc: 0.97077840/55000 [===>..........................] - ETA: 2s - loss: 0.1021 - acc: 0.96948992/55000 [===>..........................] - ETA: 2s - loss: 0.1013 - acc: 0.969410144/55000 [====>.........................] - ETA: 2s - loss: 0.1003 - acc: 0.968811168/55000 [=====>........................] - ETA: 2s - loss: 0.1003 - acc: 0.968012288/55000 [=====>........................] - ETA: 1s - loss: 0.0979 - acc: 0.969013408/55000 [======>.......................] - ETA: 1s - loss: 0.0965 - acc: 0.969914592/55000 [======>.......................] - ETA: 1s - loss: 0.0944 - acc: 0.970615744/55000 [=======>......................] - ETA: 1s - loss: 0.0940 - acc: 0.970816864/55000 [========>.....................] - ETA: 1s - loss: 0.0930 - acc: 0.970917984/55000 [========>.....................] - ETA: 1s - loss: 0.0929 - acc: 0.971019136/55000 [=========>....................] - ETA: 1s - loss: 0.0930 - acc: 0.971220288/55000 [==========>...................] - ETA: 1s - loss: 0.0928 - acc: 0.971321376/55000 [==========>...................] - ETA: 1s - loss: 0.0935 - acc: 0.971022464/55000 [===========>..................] - ETA: 1s - loss: 0.0929 - acc: 0.971223520/55000 [===========>..................] - ETA: 1s - loss: 0.0948 - acc: 0.970824576/55000 [============>.................] - ETA: 1s - loss: 0.0941 - acc: 0.970925632/55000 [============>.................] - ETA: 1s - loss: 0.0930 - acc: 0.971226784/55000 [=============>................] - ETA: 1s - loss: 0.0927 - acc: 0.971227904/55000 [==============>...............] - ETA: 1s - loss: 0.0923 - acc: 0.971329056/55000 [==============>...............] - ETA: 1s - loss: 0.0935 - acc: 0.971130144/55000 [===============>..............] - ETA: 1s - loss: 0.0946 - acc: 0.970631232/55000 [================>.............] - ETA: 1s - loss: 0.0946 - acc: 0.970332352/55000 [================>.............] - ETA: 1s - loss: 0.0950 - acc: 0.970333504/55000 [=================>............] - ETA: 0s - loss: 0.0949 - acc: 0.970334624/55000 [=================>............] - ETA: 0s - loss: 0.0948 - acc: 0.970435744/55000 [==================>...........] - ETA: 0s - loss: 0.0941 - acc: 0.970536896/55000 [===================>..........] - ETA: 0s - loss: 0.0934 - acc: 0.970738016/55000 [===================>..........] - ETA: 0s - loss: 0.0930 - acc: 0.971039136/55000 [====================>.........] - ETA: 0s - loss: 0.0932 - acc: 0.970840256/55000 [====================>.........] - ETA: 0s - loss: 0.0932 - acc: 0.971041408/55000 [=====================>........] - ETA: 0s - loss: 0.0929 - acc: 0.971142560/55000 [======================>.......] - ETA: 0s - loss: 0.0927 - acc: 0.971243552/55000 [======================>.......] - ETA: 0s - loss: 0.0926 - acc: 0.971244672/55000 [=======================>......] - ETA: 0s - loss: 0.0930 - acc: 0.971145824/55000 [=======================>......] - ETA: 0s - loss: 0.0930 - acc: 0.971246944/55000 [========================>.....] - ETA: 0s - loss: 0.0928 - acc: 0.971248096/55000 [=========================>....] - ETA: 0s - loss: 0.0926 - acc: 0.971249216/55000 [=========================>....] - ETA: 0s - loss: 0.0923 - acc: 0.971450336/55000 [==========================>...] - ETA: 0s - loss: 0.0927 - acc: 0.971251392/55000 [===========================>..] - ETA: 0s - loss: 0.0925 - acc: 0.971252448/55000 [===========================>..] - ETA: 0s - loss: 0.0927 - acc: 0.971153536/55000 [============================>.] - ETA: 0s - loss: 0.0925 - acc: 0.971354688/55000 [============================>.] - ETA: 0s - loss: 0.0924 - acc: 0.971455000/55000 [==============================] - 3s 48us/sample - loss: 0.0924 - acc: 0.9714 - val_loss: 0.0799 - val_acc: 0.9770Epoch 5/532/55000 [..............................] - ETA: 5s - loss: 0.1389 - acc: 0.93751088/55000 [..............................] - ETA: 2s - loss: 0.0770 - acc: 0.97152144/55000 [>.............................] - ETA: 2s - loss: 0.0785 - acc: 0.97483200/55000 [>.............................] - ETA: 2s - loss: 0.0706 - acc: 0.97754256/55000 [=>............................] - ETA: 2s - loss: 0.0716 - acc: 0.97775248/55000 [=>............................] - ETA: 2s - loss: 0.0713 - acc: 0.97776240/55000 [==>...........................] - ETA: 2s - loss: 0.0735 - acc: 0.97717296/55000 [==>...........................] - ETA: 2s - loss: 0.0732 - acc: 0.97758352/55000 [===>..........................] - ETA: 2s - loss: 0.0762 - acc: 0.97699408/55000 [====>.........................] - ETA: 2s - loss: 0.0772 - acc: 0.976010464/55000 [====>.........................] - ETA: 2s - loss: 0.0758 - acc: 0.976211552/55000 [=====>........................] - ETA: 2s - loss: 0.0755 - acc: 0.975912608/55000 [=====>........................] - ETA: 2s - loss: 0.0786 - acc: 0.975213664/55000 [======>.......................] - ETA: 2s - loss: 0.0776 - acc: 0.975514816/55000 [=======>......................] - ETA: 1s - loss: 0.0764 - acc: 0.975816000/55000 [=======>......................] - ETA: 1s - loss: 0.0765 - acc: 0.975617152/55000 [========>.....................] - ETA: 1s - loss: 0.0769 - acc: 0.975418240/55000 [========>.....................] - ETA: 1s - loss: 0.0776 - acc: 0.975319392/55000 [=========>....................] - ETA: 1s - loss: 0.0776 - acc: 0.975420576/55000 [==========>...................] - ETA: 1s - loss: 0.0779 - acc: 0.975321728/55000 [==========>...................] - ETA: 1s - loss: 0.0770 - acc: 0.975422784/55000 [===========>..................] - ETA: 1s - loss: 0.0773 - acc: 0.975423872/55000 [============>.................] - ETA: 1s - loss: 0.0773 - acc: 0.975524992/55000 [============>.................] - ETA: 1s - loss: 0.0775 - acc: 0.975526080/55000 [=============>................] - ETA: 1s - loss: 0.0773 - acc: 0.975727008/55000 [=============>................] - ETA: 1s - loss: 0.0773 - acc: 0.975527872/55000 [==============>...............] - ETA: 1s - loss: 0.0783 - acc: 0.975228960/55000 [==============>...............] - ETA: 1s - loss: 0.0789 - acc: 0.975029984/55000 [===============>..............] - ETA: 1s - loss: 0.0801 - acc: 0.974430592/55000 [===============>..............] - ETA: 1s - loss: 0.0797 - acc: 0.974531136/55000 [===============>..............] - ETA: 1s - loss: 0.0795 - acc: 0.974432032/55000 [================>.............] - ETA: 1s - loss: 0.0794 - acc: 0.974433024/55000 [=================>............] - ETA: 1s - loss: 0.0793 - acc: 0.974534080/55000 [=================>............] - ETA: 1s - loss: 0.0789 - acc: 0.974835200/55000 [==================>...........] - ETA: 0s - loss: 0.0785 - acc: 0.974936256/55000 [==================>...........] - ETA: 0s - loss: 0.0790 - acc: 0.974637440/55000 [===================>..........] - ETA: 0s - loss: 0.0785 - acc: 0.974938496/55000 [===================>..........] - ETA: 0s - loss: 0.0784 - acc: 0.974939552/55000 [====================>.........] - ETA: 0s - loss: 0.0785 - acc: 0.974940608/55000 [=====================>........] - ETA: 0s - loss: 0.0786 - acc: 0.974941696/55000 [=====================>........] - ETA: 0s - loss: 0.0785 - acc: 0.974942816/55000 [======================>.......] - ETA: 0s - loss: 0.0782 - acc: 0.974943904/55000 [======================>.......] - ETA: 0s - loss: 0.0776 - acc: 0.975044960/55000 [=======================>......] - ETA: 0s - loss: 0.0775 - acc: 0.975046048/55000 [========================>.....] - ETA: 0s - loss: 0.0771 - acc: 0.975247136/55000 [========================>.....] - ETA: 0s - loss: 0.0772 - acc: 0.975248224/55000 [=========================>....] - ETA: 0s - loss: 0.0770 - acc: 0.975349248/55000 [=========================>....] - ETA: 0s - loss: 0.0770 - acc: 0.975450272/55000 [==========================>...] - ETA: 0s - loss: 0.0769 - acc: 0.975451232/55000 [==========================>...] - ETA: 0s - loss: 0.0771 - acc: 0.975352192/55000 [===========================>..] - ETA: 0s - loss: 0.0770 - acc: 0.975452992/55000 [===========================>..] - ETA: 0s - loss: 0.0771 - acc: 0.975353568/55000 [============================>.] - ETA: 0s - loss: 0.0771 - acc: 0.975454496/55000 [============================>.] - ETA: 0s - loss: 0.0772 - acc: 0.975255000/55000 [==============================] - 3s 52us/sample - loss: 0.0773 - acc: 0.9752 - val_loss: 0.0723 - val_acc: 0.978832/10000 [..............................] - ETA: 0s - loss: 0.0410 - acc: 0.96882496/10000 [======>.......................] - ETA: 0s - loss: 0.1088 - acc: 0.96715280/10000 [==============>...............] - ETA: 0s - loss: 0.0977 - acc: 0.97057936/10000 [======================>.......] - ETA: 0s - loss: 0.0810 - acc: 0.975710000/10000 [==============================] - 0s 22us/sample - loss: 0.0756 - acc: 0.9776Process finished with exit code 0

准确率达到97.76%，还是相当不错的吧。至此，深度学习之“Hello World”示例完毕~~~