機器學習實驗（十）：基於WiFi fingerprints用自編碼器(Autoencoders)和神經網路(Neural Network)進行定位_1(tensorflow版)
阿新 • • 發佈：2019-01-09
Epoch: 0 Loss: 0.946417506465 Epoch: 1 Loss: 0.872724663348 Epoch: 2 Loss: 0.834939743301 Epoch: 3 Loss: 0.812426232725 Epoch: 4 Loss: 0.797482786783 Epoch: 5 Loss: 0.786710632076 Epoch: 6 Loss: 0.778407857031 Epoch: 7 Loss: 0.771705506587 Epoch: 8 Loss: 0.766137119669 Epoch: 9 Loss: 0.761425737017 Epoch: 10 Loss: 0.757388042674 Epoch: 11 Loss: 0.753892278756 Epoch: 12 Loss: 0.750838549624 Epoch: 13 Loss: 0.748148437356 Epoch: 14 Loss: 0.745759032577 Epoch: 15 Loss: 0.743619203037 Epoch: 16 Loss: 0.741687947782 Epoch: 17 Loss: 0.739931871977 Epoch: 18 Loss: 0.738323841833 Epoch: 19 Loss: 0.736841905176 Unsupervised pre-training finished... Epoch: 0 Loss: 4.27480528807 Training Accuracy: 0.507781 Validation Accuracy: 0.504976 Epoch: 1 Loss: 2.49841824394 Training Accuracy: 0.689392 Validation Accuracy: 0.675493 Epoch: 2 Loss: 1.63081804872 Training Accuracy: 0.772202 Validation Accuracy: 0.757801 Epoch: 3 Loss: 1.13079869366 Training Accuracy: 0.820174 Validation Accuracy: 0.80334 Epoch: 4 Loss: 0.957438500986 Training Accuracy: 0.845874 Validation Accuracy: 0.828808 Epoch: 5 Loss: 0.759610852076 Training Accuracy: 0.891919 Validation Accuracy: 0.871648 Epoch: 6 Loss: 0.668730932672 Training Accuracy: 0.834166 Validation Accuracy: 0.815483 Epoch: 7 Loss: 0.644024800692 Training Accuracy: 0.895131 Validation Accuracy: 0.869118 Epoch: 8 Loss: 0.586599285754 Training Accuracy: 0.926613 Validation Accuracy: 0.908416 Epoch: 9 Loss: 0.368939029375 Training Accuracy: 0.937607 Validation Accuracy: 0.914825 Epoch: 10 Loss: 0.383492833295 Training Accuracy: 0.932967 Validation Accuracy: 0.913307 Epoch: 11 Loss: 0.348123138894 Training Accuracy: 0.945174 Validation Accuracy: 0.918705 Epoch: 12 Loss: 0.397730887604 Training Accuracy: 0.948672 Validation Accuracy: 0.924776 Epoch: 13 Loss: 0.316421336578 Training Accuracy: 0.952741 Validation Accuracy: 0.924945 Epoch: 14 Loss: 0.29667654338 Training Accuracy: 0.95474 Validation Accuracy: 0.926632 Epoch: 15 Loss: 0.279483787604 Training Accuracy: 0.948101 Validation Accuracy: 0.920729 Epoch: 16 Loss: 0.331246199433 Training Accuracy: 0.971945 Validation Accuracy: 0.945859 Epoch: 17 Loss: 0.250471480337 Training Accuracy: 0.967875 Validation Accuracy: 0.943161 Epoch: 18 Loss: 0.221882153683 Training Accuracy: 0.970874 Validation Accuracy: 0.946365 Epoch: 19 Loss: 0.245788279902 Training Accuracy: 0.977013 Validation Accuracy: 0.950076 Supervised training finished... Testing Accuracy: 0.717372