Public Pastes
SHARE
TWEET

Untitled

a guest Jan 20th, 2019 57 Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
  1. Train on 1291 samples, validate on 144 samples
  2. Epoch 1/20
  3. 2019-01-19 23:28:59.243532: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
  4. 2019-01-19 23:28:59.243565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
  5. 2019-01-19 23:28:59.243571: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988]      0
  6. 2019-01-19 23:28:59.243575: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0:   N
  7. 2019-01-19 23:28:59.243744: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7823 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
  8. 1291/1291 [==============================] - 2s 2ms/step - loss: 0.3498 - acc: 0.8397 - val_loss: 0.2467 - val_acc: 0.8778
  9. Epoch 2/20
  10. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.2105 - acc: 0.8984 - val_loss: 0.1924 - val_acc: 0.9069
  11. Epoch 3/20
  12. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.1663 - acc: 0.9247 - val_loss: 0.1694 - val_acc: 0.9194
  13. Epoch 4/20
  14. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.1389 - acc: 0.9421 - val_loss: 0.1562 - val_acc: 0.9333
  15. Epoch 5/20
  16. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.1175 - acc: 0.9554 - val_loss: 0.1399 - val_acc: 0.9486
  17. Epoch 6/20
  18. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.1025 - acc: 0.9603 - val_loss: 0.1276 - val_acc: 0.9514
  19. Epoch 7/20
  20. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0916 - acc: 0.9655 - val_loss: 0.1156 - val_acc: 0.9639
  21. Epoch 8/20
  22. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0833 - acc: 0.9695 - val_loss: 0.1069 - val_acc: 0.9681
  23. Epoch 9/20
  24. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0762 - acc: 0.9730 - val_loss: 0.1023 - val_acc: 0.9750
  25. Epoch 10/20
  26. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0692 - acc: 0.9747 - val_loss: 0.0952 - val_acc: 0.9750
  27. Epoch 11/20
  28. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0634 - acc: 0.9768 - val_loss: 0.0892 - val_acc: 0.9750
  29. Epoch 12/20
  30. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0580 - acc: 0.9785 - val_loss: 0.0788 - val_acc: 0.9792
  31. Epoch 13/20
  32. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0533 - acc: 0.9786 - val_loss: 0.0718 - val_acc: 0.9806
  33. Epoch 14/20
  34. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0489 - acc: 0.9811 - val_loss: 0.0665 - val_acc: 0.9806
  35. Epoch 15/20
  36. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0450 - acc: 0.9830 - val_loss: 0.0631 - val_acc: 0.9806
  37. Epoch 16/20
  38. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0421 - acc: 0.9842 - val_loss: 0.0606 - val_acc: 0.9806
  39. Epoch 17/20
  40. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0386 - acc: 0.9862 - val_loss: 0.0594 - val_acc: 0.9778
  41. Epoch 18/20
  42. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0363 - acc: 0.9867 - val_loss: 0.0567 - val_acc: 0.9792
  43. Epoch 19/20
  44. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0337 - acc: 0.9876 - val_loss: 0.0556 - val_acc: 0.9806
  45. Epoch 20/20
  46. 1291/1291 [==============================] - 1s 1ms/step - loss: 0.0320 - acc: 0.9884 - val_loss: 0.0534 - val_acc: 0.9819
  47. 1291/1291 [==============================] - 0s 67us/step
  48. Test sample 44, actual label is [1 0 0 0 1] but predicted as [1 0 0 0 0]
  49. Test sample 52, actual label is [1 0 0 0 0] but predicted as [1 0 0 1 0]
  50. Test sample 55, actual label is [1 0 0 0 1] but predicted as [1 0 0 0 0]
  51. Test sample 57, actual label is [1 0 0 0 1] but predicted as [1 0 0 0 0]
  52. Test sample 69, actual label is [0 0 0 0 1] but predicted as [1 0 0 0 1]
  53. Test sample 78, actual label is [0 0 0 0 1] but predicted as [1 0 0 0 1]
  54. Test sample 87, actual label is [0 0 0 1 0] but predicted as [0 0 0 0 0]
  55. Test sample 98, actual label is [1 0 0 0 1] but predicted as [1 0 0 1 0]
  56. Test sample 120, actual label is [1 0 0 1 0] but predicted as [1 0 0 0 0]
  57. Test sample 128, actual label is [1 0 0 0 1] but predicted as [1 0 0 1 0]
  58. Test sample 133, actual label is [1 0 0 0 0] but predicted as [1 0 0 1 0]
  59. Accuracy is 0.9236
  60. testing done
RAW Paste Data
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. OK, I Understand
 
Top