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output.txt
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output.txt
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loading data...
incomplete days: []
train_data shape: (4152, 2, 16, 8)
min: 0.0 max: 267.0
XC shape: (3720, 6, 16, 8) XP shape: (3720, 8, 16, 8) XT shape: (3720, 8, 16, 8) Y shape: (3720, 2, 16, 8)
train shape: (3480, 6, 16, 8) (3480, 2, 16, 8) test shape: (240, 6, 16, 8) (240, 2, 16, 8)
(3480, 6, 16, 8)
(3480, 8, 16, 8)
(3480, 8, 16, 8)
(3480, 8)
(240, 6, 16, 8)
(240, 8, 16, 8)
(240, 8, 16, 8)
(240, 8)
========== Build model and start traning ==========
conv2 Tensor("conv2d_9/BiasAdd:0", shape=(?, 16, 8, 2), dtype=float64)
conv2 Tensor("conv2d_19/BiasAdd:0", shape=(?, 16, 8, 2), dtype=float64)
conv2 Tensor("conv2d_29/BiasAdd:0", shape=(?, 16, 8, 2), dtype=float64)
main_output Tensor("AddN:0", shape=(?, 16, 8, 2), dtype=float64)
external_output Tensor("transpose_3:0", shape=(?, 16, 8, 2), dtype=float64)
main_output Tensor("transpose_4:0", shape=(?, 2, 16, 8), dtype=float64)
number of data points 3480
Cost after epoch 0: 0.067977
Cost after epoch 5: 0.004337
Cost after epoch 10: 0.002469
Cost after epoch 15: 0.002073
Cost after epoch 20: 0.001908
Cost after epoch 25: 0.001736
Cost after epoch 30: 0.001755
Cost after epoch 35: 0.001594
Cost after epoch 40: 0.001482
Cost after epoch 45: 0.001421
Cost after epoch 50: 0.001362
Cost after epoch 55: 0.001289
Cost after epoch 60: 0.001171
Cost after epoch 65: 0.001122
Cost after epoch 70: 0.001104
Cost after epoch 75: 0.001072
Cost after epoch 80: 0.001032
Cost after epoch 85: 0.001009
Cost after epoch 90: 0.001008
Cost after epoch 95: 0.000918
Cost after epoch 100: 0.000907
Cost after epoch 105: 0.000831
Cost after epoch 110: 0.000806
Cost after epoch 115: 0.000812
Cost after epoch 120: 0.000765
Cost after epoch 125: 0.000728
Cost after epoch 130: 0.000698
Cost after epoch 135: 0.000691
Cost after epoch 140: 0.000655
Cost after epoch 145: 0.000624
Cost after epoch 150: 0.000609
Cost after epoch 155: 0.000582
Cost after epoch 160: 0.000625
Cost after epoch 165: 0.000545
Cost after epoch 170: 0.000522
Cost after epoch 175: 0.000482
Cost after epoch 180: 0.000476
Cost after epoch 185: 0.000464
Cost after epoch 190: 0.000431
Cost after epoch 195: 0.000420
Cost after epoch 200: 0.000409
Cost after epoch 205: 0.000409
Cost after epoch 210: 0.000383
Cost after epoch 215: 0.000377
Cost after epoch 220: 0.000357
Cost after epoch 225: 0.000351
Cost after epoch 230: 0.000341
Cost after epoch 235: 0.000329
Cost after epoch 240: 0.000344
Cost after epoch 245: 0.000317
Cost after epoch 250: 0.000304
Cost after epoch 255: 0.000295
Cost after epoch 260: 0.000285
Cost after epoch 265: 0.000278
Cost after epoch 270: 0.000272
Cost after epoch 275: 0.000270
Cost after epoch 280: 0.000262
Cost after epoch 285: 0.000255
Cost after epoch 290: 0.000256
Cost after epoch 295: 0.000248
Cost after epoch 300: 0.000236
Cost after epoch 305: 0.000228
Cost after epoch 310: 0.000229
Cost after epoch 315: 0.000216
Cost after epoch 320: 0.000218
Cost after epoch 325: 0.000209
Cost after epoch 330: 0.000213
Cost after epoch 335: 0.000217
Cost after epoch 340: 0.000199
Cost after epoch 345: 0.000206
Cost after epoch 350: 0.000194
Cost after epoch 355: 0.000198
Cost after epoch 360: 0.000187
Cost after epoch 365: 0.000185
Cost after epoch 370: 0.000171
Cost after epoch 375: 0.000188
Cost after epoch 380: 0.000174
Cost after epoch 385: 0.000177
Cost after epoch 390: 0.000167
Cost after epoch 395: 0.000175
Cost after epoch 400: 0.000163
Cost after epoch 405: 0.000157
Cost after epoch 410: 0.000156
Cost after epoch 415: 0.000156
Cost after epoch 420: 0.000157
Cost after epoch 425: 0.000151
Cost after epoch 430: 0.000149
Cost after epoch 435: 0.000141
Cost after epoch 440: 0.000154
Cost after epoch 445: 0.000141
Cost after epoch 450: 0.000223
Cost after epoch 455: 0.000132
Cost after epoch 460: 0.000130
Cost after epoch 465: 0.000134
Cost after epoch 470: 0.000138
Cost after epoch 475: 0.000133
Cost after epoch 480: 0.000129
Cost after epoch 485: 0.000125
Cost after epoch 490: 0.000131
Cost after epoch 495: 0.000121
========== Check model accuracy ==========
Train Accuracy: 0.011191
Test Accuracy: 0.042504
Running time of training and evaluation in seconds 37582.953074