데이터분석/Deep Learning
dnn sample
늘근이
2018. 10. 9. 02:45
Epoch 1491/1500 700/700 [==============================] - 0s 24us/step - loss: 0.4035 - acc: 0.7929 Epoch 1492/1500 700/700 [==============================] - 0s 29us/step - loss: 0.4029 - acc: 0.8057 Epoch 1493/1500 700/700 [==============================] - 0s 30us/step - loss: 0.4099 - acc: 0.8014 Epoch 1494/1500 700/700 [==============================] - 0s 25us/step - loss: 0.4171 - acc: 0.7943 Epoch 1495/1500 700/700 [==============================] - 0s 26us/step - loss: 0.4090 - acc: 0.7971 Epoch 1496/1500 700/700 [==============================] - 0s 24us/step - loss: 0.4024 - acc: 0.7971 Epoch 1497/1500 700/700 [==============================] - 0s 29us/step - loss: 0.4024 - acc: 0.8057 Epoch 1498/1500 700/700 [==============================] - 0s 24us/step - loss: 0.4057 - acc: 0.7971 Epoch 1499/1500 700/700 [==============================] - 0s 21us/step - loss: 0.4123 - acc: 0.7971 Epoch 1500/1500 700/700 [==============================] - 0s 23us/step - loss: 0.4016 - acc: 0.7957 68/68 [==============================] - 0s 1ms/step acc: 79.41%