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refactor(data): include latitude longitude in columns, not indices

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Mahdi Dibaiee
2019-03-05 11:29:30 +03:30
parent 865cc775ed
commit 3dcafddb8c
12 changed files with 220 additions and 42 deletions
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Layer (type) Output Shape Param #
=================================================================
Group 1
-----------------------------------------------------------------
dense (Dense) (None, 128) 1536
_________________________________________________________________
dense_1 (Dense) (None, 256) 33024
_________________________________________________________________
dense_2 (Dense) (None, 14) 3598
-----------------------------------------------------------------
Total params: 38,158
1 Epoch: loss: 0.3822 - acc: 0.8684
Learning rate: 0.005
=================================================================
Group 2
-----------------------------------------------------------------
dense (Dense) (None, 32) 384
_________________________________________________________________
dense_1 (Dense) (None, 64) 2112
_________________________________________________________________
dense_2 (Dense) (None, 32) 2080
_________________________________________________________________
dense_3 (Dense) (None, 14) 462
-----------------------------------------------------------------
Total params: 5,038
1 Epoch: loss: 0.3760 - acc: 0.8678 @ 20minutes
Stopped converging, loss increasing
Learning rate: 0.005
=================================================================
Group 3
-----------------------------------------------------------------
dense (Dense) (None, 16) 192
_________________________________________________________________
dense_1 (Dense) (None, 32) 544
_________________________________________________________________
dense_2 (Dense) (None, 16) 528
_________________________________________________________________
dense_3 (Dense) (None, 14) 238
-----------------------------------------------------------------
Total params: 1,502
1 Epoch: loss: 0.3702 - acc: 0.8671 @ 12minutes
10 Epochs: loss: 0.3280 - acc: 0.8815
Stopped converging after 5 epochs, was oscillating
Learning rate: 0.005
=================================================================
Group 4
_________________________________________________________________
dense (Dense) (None, 12) 144
_________________________________________________________________
dense_1 (Dense) (None, 14) 182
_________________________________________________________________
Total params: 326
1 Epoch: loss: 0.4412 - acc: 0.8457 @ 10m
60 Epochs: loss: 0.4146 - acc: 0.8546
Stopped converging
Learning rate: 0.005
=================================================================
Group 5
_________________________________________________________________
dense (Dense) (None, 12) 144
_________________________________________________________________
dense_1 (Dense) (None, 14) 182
_________________________________________________________________
Total params: 326
1 Epoch: loss: 0.5057 - acc: 0.8268 @ 10m
15 epoch: loss: 0.4240 - acc: 0.8481
Stopped converging
Learning rate: 0.001
=================================================================
Group 6
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 24) 288
_________________________________________________________________
dense_1 (Dense) (None, 14) 350
_________________________________________________________________
Total params: 638
1 Epoch: loss: 0.4520 - acc: 0.8416 @ 12m
30 epochs: loss: 0.3562 - acc: 0.8691, still converging
stopped converging after 100 epochs
Learning rate: 0.001