ex6_1_ae를 cpu 텐서플로에서 돌리면 epochs를 늘여도 수렴이 잘 안됩니다.

[yjoh222]

파이썬3.7, 텐서플로2.0 cpu 버전입니다.
에포크에 따른 accuracy 변화는 아래와 같습니다.
책에 나온 결과와 차이가 매우 크게 납니다.

왜 그런 걸까요.

---

runfile('D:/Python/merong.py', wdir='D:/Python')
(60000, 784)
(10000, 784)
Train on 60000 samples, validate on 10000 samples
Epoch 1/10
60000/60000 [==============================] - 7s 123us/sample - loss: 0.6959 - accuracy: 0.3923 - val_loss: 0.6958 - val_accuracy: 0.3924
Epoch 2/10
60000/60000 [==============================] - 5s 84us/sample - loss: 0.6956 - accuracy: 0.3941 - val_loss: 0.6956 - val_accuracy: 0.3943
Epoch 3/10
60000/60000 [==============================] - 6s 108us/sample - loss: 0.6954 - accuracy: 0.3959 - val_loss: 0.6954 - val_accuracy: 0.3960
Epoch 4/10
60000/60000 [==============================] - 6s 104us/sample - loss: 0.6952 - accuracy: 0.3978 - val_loss: 0.6952 - val_accuracy: 0.3979
Epoch 5/10
60000/60000 [==============================] - 5s 86us/sample - loss: 0.6950 - accuracy: 0.3995 - val_loss: 0.6950 - val_accuracy: 0.3996
Epoch 6/10
60000/60000 [==============================] - 6s 101us/sample - loss: 0.6948 - accuracy: 0.4013 - val_loss: 0.6948 - val_accuracy: 0.4014
Epoch 7/10
60000/60000 [==============================] - 5s 87us/sample - loss: 0.6946 - accuracy: 0.4031 - val_loss: 0.6946 - val_accuracy: 0.4032
Epoch 8/10
60000/60000 [==============================] - 5s 84us/sample - loss: 0.6944 - accuracy: 0.4048 - val_loss: 0.6944 - val_accuracy: 0.4049
Epoch 9/10
60000/60000 [==============================] - 8s 134us/sample - loss: 0.6942 - accuracy: 0.4066 - val_loss: 0.6942 - val_accuracy: 0.4067
Epoch 10/10
60000/60000 [==============================] - 5s 90us/sample - loss: 0.6940 - accuracy: 0.4083 - val_loss: 0.6940 - val_accuracy: 0.4084