Using TensorFlow backend. Reading - ecobioinfo.com · 2019-12-30 · Epoch 68/120 38/38 [=====] -...
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Using TensorFlow backend. Reading... Reading...end. val_lists=121 test_n_sample=72 train_n_sample=2239 _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_1 (Conv2D) (None, 256, 256, 32) 320 _________________________________________________________________ conv2d_2 (Conv2D) (None, 128, 128, 64) 18496 _________________________________________________________________ conv2d_3 (Conv2D) (None, 64, 64, 128) 73856 _________________________________________________________________ conv2d_4 (Conv2D) (None, 32, 32, 256) 295168 _________________________________________________________________ conv2d_transpose_1 (Conv2DTr (None, 64, 64, 128) 295040 _________________________________________________________________ conv2d_transpose_2 (Conv2DTr (None, 128, 128, 64) 73792 _________________________________________________________________ conv2d_transpose_3 (Conv2DTr (None, 256, 256, 32) 18464 _________________________________________________________________ conv2d_transpose_4 (Conv2DTr (None, 256, 256, 2) 66 ================================================================= Total params: 775,202 Trainable params: 775,202 Non-trainable params: 0 _________________________________________________________________ Epoch 1/120 38/38 [==============================] - 20s 533ms/step - loss: 5640.9807 - val_loss: 2818.7762 Epoch 2/120 38/38 [==============================] - 17s 449ms/step - loss: 2629.5031 - val_loss: 2530.0427 Epoch 3/120 38/38 [==============================] - 18s 475ms/step - loss: 2292.6635 - val_loss: 2315.5103 Epoch 4/120 38/38 [==============================] - 18s 475ms/step - loss: 2208.7704 - val_loss: 2411.2112 Epoch 5/120
Transcript of Using TensorFlow backend. Reading - ecobioinfo.com · 2019-12-30 · Epoch 68/120 38/38 [=====] -...
![Page 1: Using TensorFlow backend. Reading - ecobioinfo.com · 2019-12-30 · Epoch 68/120 38/38 [=====] - 18s 473ms/step - loss: 509.2417 - val_loss: 482.8436 Epoch 69/120 38/38 [=====] -](https://reader033.fdocuments.us/reader033/viewer/2022050216/5f6279228f4f5579ba7ac59a/html5/thumbnails/1.jpg)
Using TensorFlow backend.
Reading...Reading...end.val_lists=121test_n_sample=72train_n_sample=2239
_________________________________________________________________Layer (type) Output Shape Param # =================================================================conv2d_1 (Conv2D) (None, 256, 256, 32) 320 _________________________________________________________________conv2d_2 (Conv2D) (None, 128, 128, 64) 18496 _________________________________________________________________conv2d_3 (Conv2D) (None, 64, 64, 128) 73856 _________________________________________________________________conv2d_4 (Conv2D) (None, 32, 32, 256) 295168 _________________________________________________________________conv2d_transpose_1 (Conv2DTr (None, 64, 64, 128) 295040 _________________________________________________________________conv2d_transpose_2 (Conv2DTr (None, 128, 128, 64) 73792 _________________________________________________________________conv2d_transpose_3 (Conv2DTr (None, 256, 256, 32) 18464 _________________________________________________________________conv2d_transpose_4 (Conv2DTr (None, 256, 256, 2) 66 =================================================================Total params: 775,202Trainable params: 775,202Non-trainable params: 0_________________________________________________________________Epoch 1/12038/38 [==============================] - 20s 533ms/step - loss: 5640.9807 - val_loss: 2818.7762Epoch 2/12038/38 [==============================] - 17s 449ms/step - loss: 2629.5031 - val_loss: 2530.0427Epoch 3/12038/38 [==============================] - 18s 475ms/step - loss: 2292.6635 - val_loss: 2315.5103Epoch 4/12038/38 [==============================] - 18s 475ms/step - loss: 2208.7704 - val_loss: 2411.2112Epoch 5/120
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38/38 [==============================] - 18s 475ms/step - loss: 2210.0611 - val_loss: 2260.3058Epoch 6/12038/38 [==============================] - 18s 474ms/step - loss: 2059.0401 - val_loss: 2015.2668Epoch 7/12038/38 [==============================] - 18s 476ms/step - loss: 1921.4249 - val_loss: 2494.4499Epoch 8/12038/38 [==============================] - 18s 475ms/step - loss: 1947.3909 - val_loss: 1858.5238Epoch 9/12038/38 [==============================] - 18s 477ms/step - loss: 1896.4715 - val_loss: 2358.6553Epoch 10/12038/38 [==============================] - 18s 474ms/step - loss: 1996.8799 - val_loss: 2772.2071Epoch 11/12038/38 [==============================] - 18s 475ms/step - loss: 2120.9365 - val_loss: 1777.2054Epoch 12/12038/38 [==============================] - 18s 475ms/step - loss: 1772.7014 - val_loss: 1719.9300Epoch 13/12038/38 [==============================] - 18s 475ms/step - loss: 1378.1606 - val_loss: 1652.2794Epoch 14/12038/38 [==============================] - 18s 476ms/step - loss: 1175.0570 - val_loss: 1020.4426Epoch 15/12038/38 [==============================] - 18s 476ms/step - loss: 706.9804 - val_loss: 619.1844Epoch 16/12038/38 [==============================] - 18s 475ms/step - loss: 609.6357 - val_loss: 586.8298Epoch 17/12038/38 [==============================] - 18s 475ms/step - loss: 587.8181 - val_loss: 568.6620Epoch 18/12038/38 [==============================] - 18s 474ms/step - loss: 575.8548 - val_loss: 556.9125Epoch 19/12038/38 [==============================] - 18s 475ms/step - loss: 568.3103 - val_loss: 549.6444Epoch 20/12038/38 [==============================] - 18s 474ms/step - loss: 563.5943 - val_loss: 544.4682Epoch 21/12038/38 [==============================] - 18s 475ms/step - loss: 559.8218 - val_loss: 540.7111Epoch 22/12038/38 [==============================] - 18s 474ms/step - loss: 556.8890 - val_loss: 537.8683Epoch 23/12038/38 [==============================] - 18s 473ms/step - loss: 554.4983 - val_loss: 535.4387Epoch 24/12038/38 [==============================] - 18s 473ms/step - loss: 552.4579 - val_loss: 533.5504Epoch 25/12038/38 [==============================] - 18s 474ms/step - loss: 550.8734 - val_loss: 531.9087Epoch 26/120
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38/38 [==============================] - 18s 473ms/step - loss: 549.2902 - val_loss: 530.3769Epoch 27/12038/38 [==============================] - 18s 473ms/step - loss: 547.8063 - val_loss: 528.5820Epoch 28/12038/38 [==============================] - 18s 473ms/step - loss: 546.0048 - val_loss: 526.6602Epoch 29/12038/38 [==============================] - 18s 473ms/step - loss: 542.9521 - val_loss: 522.3162Epoch 30/12038/38 [==============================] - 18s 473ms/step - loss: 539.0230 - val_loss: 517.8484Epoch 31/12038/38 [==============================] - 18s 473ms/step - loss: 535.0167 - val_loss: 511.9824Epoch 32/12038/38 [==============================] - 18s 473ms/step - loss: 531.3686 - val_loss: 506.4676Epoch 33/12038/38 [==============================] - 18s 473ms/step - loss: 528.8540 - val_loss: 502.3049Epoch 34/12038/38 [==============================] - 18s 473ms/step - loss: 525.4460 - val_loss: 499.1229Epoch 35/12038/38 [==============================] - 18s 473ms/step - loss: 524.1768 - val_loss: 495.3695Epoch 36/12038/38 [==============================] - 18s 474ms/step - loss: 522.2574 - val_loss: 493.3754Epoch 37/12038/38 [==============================] - 18s 473ms/step - loss: 520.4381 - val_loss: 491.7827Epoch 38/12038/38 [==============================] - 18s 474ms/step - loss: 519.9434 - val_loss: 490.1561Epoch 39/12038/38 [==============================] - 18s 473ms/step - loss: 518.3695 - val_loss: 489.3925Epoch 40/12038/38 [==============================] - 18s 473ms/step - loss: 517.8113 - val_loss: 488.2428Epoch 41/12038/38 [==============================] - 18s 474ms/step - loss: 516.9696 - val_loss: 486.8628Epoch 42/12038/38 [==============================] - 18s 473ms/step - loss: 515.5096 - val_loss: 486.8129Epoch 43/12038/38 [==============================] - 18s 473ms/step - loss: 515.2246 - val_loss: 486.1176Epoch 44/12038/38 [==============================] - 18s 474ms/step - loss: 515.0590 - val_loss: 485.5710Epoch 45/12038/38 [==============================] - 18s 473ms/step - loss: 514.4209 - val_loss: 485.4127Epoch 46/12038/38 [==============================] - 18s 473ms/step - loss: 514.2687 - val_loss: 484.8833Epoch 47/120
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38/38 [==============================] - 18s 473ms/step - loss: 513.9033 - val_loss: 484.5887Epoch 48/12038/38 [==============================] - 18s 472ms/step - loss: 513.6640 - val_loss: 484.3368Epoch 49/12038/38 [==============================] - 18s 473ms/step - loss: 513.3220 - val_loss: 484.2049Epoch 50/12038/38 [==============================] - 18s 473ms/step - loss: 513.0933 - val_loss: 483.9673Epoch 51/12038/38 [==============================] - 18s 473ms/step - loss: 512.7595 - val_loss: 483.7719Epoch 52/12038/38 [==============================] - 18s 473ms/step - loss: 512.5442 - val_loss: 483.5310Epoch 53/12038/38 [==============================] - 18s 473ms/step - loss: 512.3641 - val_loss: 483.4311Epoch 54/12038/38 [==============================] - 18s 473ms/step - loss: 512.2012 - val_loss: 483.3444Epoch 55/12038/38 [==============================] - 18s 473ms/step - loss: 512.0423 - val_loss: 483.2489Epoch 56/12038/38 [==============================] - 18s 473ms/step - loss: 511.8684 - val_loss: 483.0781Epoch 57/12038/38 [==============================] - 18s 474ms/step - loss: 511.7684 - val_loss: 482.9095Epoch 58/12038/38 [==============================] - 18s 473ms/step - loss: 511.5338 - val_loss: 482.9415Epoch 59/12038/38 [==============================] - 18s 474ms/step - loss: 511.4925 - val_loss: 482.6400Epoch 60/12038/38 [==============================] - 18s 473ms/step - loss: 511.3094 - val_loss: 482.7434Epoch 61/12038/38 [==============================] - 18s 473ms/step - loss: 511.0785 - val_loss: 482.7562Epoch 62/12038/38 [==============================] - 18s 474ms/step - loss: 511.0414 - val_loss: 482.4487Epoch 63/12038/38 [==============================] - 18s 473ms/step - loss: 511.1376 - val_loss: 482.4294Epoch 64/120
38/38 [==============================] - 18s 473ms/step - loss: 510.5956 - val_loss: 482.7423Epoch 65/12038/38 [==============================] - 18s 474ms/step - loss: 510.4240 - val_loss: 482.9838Epoch 66/12038/38 [==============================] - 18s 473ms/step - loss: 510.5262 - val_loss: 483.9680Epoch 67/12038/38 [==============================] - 18s 473ms/step - loss: 511.8418 - val_loss: 481.3995
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Epoch 68/12038/38 [==============================] - 18s 473ms/step - loss: 509.2417 - val_loss: 482.8436Epoch 69/12038/38 [==============================] - 18s 473ms/step - loss: 509.9621 - val_loss: 482.6158Epoch 70/12038/38 [==============================] - 18s 473ms/step - loss: 509.6022 - val_loss: 482.8125Epoch 71/12038/38 [==============================] - 18s 473ms/step - loss: 509.7249 - val_loss: 483.1192Epoch 72/12038/38 [==============================] - 18s 473ms/step - loss: 510.1404 - val_loss: 481.9856Epoch 73/12038/38 [==============================] - 18s 473ms/step - loss: 508.8694 - val_loss: 482.8826Epoch 74/12038/38 [==============================] - 18s 473ms/step - loss: 508.9209 - val_loss: 484.7905Epoch 75/12038/38 [==============================] - 18s 473ms/step - loss: 508.4919 - val_loss: 485.6068Epoch 76/12038/38 [==============================] - 18s 473ms/step - loss: 508.8702 - val_loss: 483.8515Epoch 77/12038/38 [==============================] - 18s 473ms/step - loss: 508.8205 - val_loss: 485.7732Epoch 78/12038/38 [==============================] - 18s 474ms/step - loss: 509.1242 - val_loss: 487.1773Epoch 79/12038/38 [==============================] - 18s 475ms/step - loss: 507.9530 - val_loss: 485.8593Epoch 80/12038/38 [==============================] - 18s 473ms/step - loss: 508.9524 - val_loss: 486.6902Epoch 81/12038/38 [==============================] - 18s 474ms/step - loss: 508.1845 - val_loss: 488.4274Epoch 82/12038/38 [==============================] - 18s 473ms/step - loss: 509.6337 - val_loss: 485.9345Epoch 83/12038/38 [==============================] - 18s 473ms/step - loss: 511.1386 - val_loss: 485.1741Epoch 84/12038/38 [==============================] - 18s 473ms/step - loss: 508.7213 - val_loss: 486.0553Epoch 85/12038/38 [==============================] - 18s 475ms/step - loss: 506.9876 - val_loss: 488.1145Epoch 86/12038/38 [==============================] - 18s 474ms/step - loss: 509.0599 - val_loss: 486.5662Epoch 87/12038/38 [==============================] - 18s 473ms/step - loss: 507.0612 - val_loss: 489.9336Epoch 88/12038/38 [==============================] - 18s 474ms/step - loss: 506.7337 - val_loss: 490.9123Epoch 89/120
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38/38 [==============================] - 18s 473ms/step - loss: 507.5177 - val_loss: 494.0043Epoch 90/12038/38 [==============================] - 18s 473ms/step - loss: 506.9106 - val_loss: 493.9304Epoch 91/12038/38 [==============================] - 18s 473ms/step - loss: 508.8321 - val_loss: 507.6470Epoch 92/12038/38 [==============================] - 18s 474ms/step - loss: 509.4220 - val_loss: 494.3365Epoch 93/12038/38 [==============================] - 18s 473ms/step - loss: 509.3824 - val_loss: 488.0644Epoch 94/12038/38 [==============================] - 18s 473ms/step - loss: 508.9795 - val_loss: 486.9629Epoch 95/12038/38 [==============================] - 18s 473ms/step - loss: 507.6677 - val_loss: 487.3563Epoch 96/12038/38 [==============================] - 18s 473ms/step - loss: 507.5512 - val_loss: 490.0829Epoch 97/12038/38 [==============================] - 18s 473ms/step - loss: 507.8137 - val_loss: 488.5135Epoch 98/12038/38 [==============================] - 18s 473ms/step - loss: 507.4993 - val_loss: 488.2687Epoch 99/12038/38 [==============================] - 18s 474ms/step - loss: 507.4619 - val_loss: 488.3134Epoch 100/12038/38 [==============================] - 18s 473ms/step - loss: 507.9032 - val_loss: 491.8123Epoch 101/12038/38 [==============================] - 18s 474ms/step - loss: 507.6186 - val_loss: 488.6852Epoch 102/12038/38 [==============================] - 18s 473ms/step - loss: 506.2759 - val_loss: 488.1297Epoch 103/12038/38 [==============================] - 18s 474ms/step - loss: 507.1150 - val_loss: 491.1396Epoch 104/12038/38 [==============================] - 18s 473ms/step - loss: 507.1252 - val_loss: 489.0118Epoch 105/12038/38 [==============================] - 18s 473ms/step - loss: 506.4103 - val_loss: 493.6816Epoch 106/12038/38 [==============================] - 18s 473ms/step - loss: 507.1292 - val_loss: 494.6474Epoch 107/12038/38 [==============================] - 18s 473ms/step - loss: 507.2687 - val_loss: 486.8604Epoch 108/12038/38 [==============================] - 18s 473ms/step - loss: 505.9425 - val_loss: 490.7573Epoch 109/12038/38 [==============================] - 18s 472ms/step - loss: 506.0723 - val_loss: 494.0754Epoch 110/120
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38/38 [==============================] - 18s 473ms/step - loss: 505.5880 - val_loss: 492.3266Epoch 111/12038/38 [==============================] - 18s 473ms/step - loss: 506.0578 - val_loss: 492.4298Epoch 112/12038/38 [==============================] - 18s 473ms/step - loss: 506.1561 - val_loss: 497.2045Epoch 113/12038/38 [==============================] - 18s 474ms/step - loss: 505.6367 - val_loss: 493.3698Epoch 114/12038/38 [==============================] - 18s 474ms/step - loss: 505.5325 - val_loss: 496.5630Epoch 115/12038/38 [==============================] - 18s 473ms/step - loss: 504.8647 - val_loss: 498.2000Epoch 116/12038/38 [==============================] - 18s 473ms/step - loss: 504.9654 - val_loss: 497.3600Epoch 117/12038/38 [==============================] - 18s 473ms/step - loss: 505.0195 - val_loss: 500.6877Epoch 118/12038/38 [==============================] - 18s 473ms/step - loss: 505.3353 - val_loss: 500.7131Epoch 119/12038/38 [==============================] - 18s 473ms/step - loss: 505.1835 - val_loss: 498.4188Epoch 120/12038/38 [==============================] - 18s 473ms/step - loss: 505.9304 - val_loss: 496.7832
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