1. 程式人生 > >機器學習實驗(十一):基於WiFi fingerprints用自編碼器(Autoencoders)和神經網路(Neural Network)進行定位_2(keras版)

機器學習實驗(十一):基於WiFi fingerprints用自編碼器(Autoencoders)和神經網路(Neural Network)進行定位_2(keras版)

Epoch 1/20
6s - loss: 0.7049
Epoch 2/20
6s - loss: 0.6808
Epoch 3/20
5s - loss: 0.6752
Epoch 4/20
5s - loss: 0.6724
Epoch 5/20
5s - loss: 0.6703
Epoch 6/20
5s - loss: 0.6685
Epoch 7/20
5s - loss: 0.6670
Epoch 8/20
5s - loss: 0.6656
Epoch 9/20
5s - loss: 0.6641
Epoch 10/20
5s - loss: 0.6630
Epoch 11/20
5s - loss: 0.6619
Epoch 12/20
5s - loss: 0.6610
Epoch 13/20
5s - loss: 0.6599
Epoch 14/20
5s - loss: 0.6593
Epoch 15/20
5s - loss: 0.6584
Epoch 16/20
5s - loss: 0.6578
Epoch 17/20
5s - loss: 0.6571
Epoch 18/20
5s - loss: 0.6565
Epoch 19/20
5s - loss: 0.6560
Epoch 20/20
5s - loss: 0.6555
Train on 13945 samples, validate on 5992 samples
Epoch 1/20
3s - loss: 0.3205 - acc: 0.8881 - val_loss: 0.1862 - val_acc: 0.9356
Epoch 2/20
3s - loss: 0.1333 - acc: 0.9558 - val_loss: 0.1674 - val_acc: 0.9513
Epoch 3/20
4s - loss: 0.1072 - acc: 0.9645 - val_loss: 0.1554 - val_acc: 0.9449
Epoch 4/20
3s - loss: 0.0860 - acc: 0.9717 - val_loss: 0.1836 - val_acc: 0.9383
Epoch 5/20
3s - loss: 0.0752 - acc: 0.9750 - val_loss: 0.1699 - val_acc: 0.9534
Epoch 6/20
3s - loss: 0.0691 - acc: 0.9770 - val_loss: 0.1610 - val_acc: 0.9554
Epoch 7/20
3s - loss: 0.0637 - acc: 0.9796 - val_loss: 0.1886 - val_acc: 0.9489
Epoch 8/20
4s - loss: 0.0601 - acc: 0.9814 - val_loss: 0.1604 - val_acc: 0.9569
Epoch 9/20
4s - loss: 0.0589 - acc: 0.9812 - val_loss: 0.1312 - val_acc: 0.9606
Epoch 10/20
4s - loss: 0.0496 - acc: 0.9826 - val_loss: 0.1882 - val_acc: 0.9488
Epoch 11/20
4s - loss: 0.0489 - acc: 0.9823 - val_loss: 0.1662 - val_acc: 0.9541
Epoch 12/20
3s - loss: 0.0517 - acc: 0.9833 - val_loss: 0.1311 - val_acc: 0.9613
Epoch 13/20
3s - loss: 0.0470 - acc: 0.9841 - val_loss: 0.2039 - val_acc: 0.9474
Epoch 14/20
4s - loss: 0.0495 - acc: 0.9835 - val_loss: 0.1874 - val_acc: 0.9543
Epoch 15/20
3s - loss: 0.0401 - acc: 0.9872 - val_loss: 0.1639 - val_acc: 0.9503
Epoch 16/20
4s - loss: 0.0466 - acc: 0.9857 - val_loss: 0.1649 - val_acc: 0.9593
Epoch 17/20
3s - loss: 0.0423 - acc: 0.9859 - val_loss: 0.1639 - val_acc: 0.9574
Epoch 18/20
3s - loss: 0.0369 - acc: 0.9875 - val_loss: 0.1536 - val_acc: 0.9608
Epoch 19/20
3s - loss: 0.0416 - acc: 0.9863 - val_loss: 0.1624 - val_acc: 0.9619
Epoch 20/20
3s - loss: 0.0362 - acc: 0.9882 - val_loss: 0.1545 - val_acc: 0.9609
1.25824190562 0.747974797694