1 files changed, 40 insertions, 0 deletions
diff --git a/doc/listings/convTraining.txt b/doc/listings/convTraining.txt
new file mode 100644
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+Epoch 1/20
+39501/39501 - 279s - loss: 3.7391 - accuracy: 0.1064 - val_loss: 3.1316 - val_accuracy: 0.2023 - 279s/epoch - 7ms/step
+Epoch 2/20
+39501/39501 - 241s - loss: 2.6512 - accuracy: 0.3046 - val_loss: 2.0729 - val_accuracy: 0.4484 - 241s/epoch - 6ms/step
+Epoch 3/20
+39501/39501 - 214s - loss: 1.6459 - accuracy: 0.6014 - val_loss: 1.2040 - val_accuracy: 0.7143 - 214s/epoch - 5ms/step
+Epoch 4/20
+39501/39501 - 228s - loss: 0.9016 - accuracy: 0.8417 - val_loss: 0.6430 - val_accuracy: 0.8735 - 228s/epoch - 6ms/step
+Epoch 5/20
+39501/39501 - 230s - loss: 0.4704 - accuracy: 0.9380 - val_loss: 0.3520 - val_accuracy: 0.9378 - 230s/epoch - 6ms/step
+Epoch 6/20
+39501/39501 - 222s - loss: 0.2735 - accuracy: 0.9520 - val_loss: 0.2329 - val_accuracy: 0.9549 - 222s/epoch - 6ms/step
+Epoch 7/20
+39501/39501 - 215s - loss: 0.2117 - accuracy: 0.9495 - val_loss: 0.1837 - val_accuracy: 0.9583 - 215s/epoch - 5ms/step
+Epoch 8/20
+39501/39501 - 215s - loss: 0.1797 - accuracy: 0.9533 - val_loss: 0.1787 - val_accuracy: 0.9556 - 215s/epoch - 5ms/step
+Epoch 9/20
+39501/39501 - 225s - loss: 0.1607 - accuracy: 0.9553 - val_loss: 0.1952 - val_accuracy: 0.9446 - 225s/epoch - 6ms/step
+Epoch 10/20
+39501/39501 - 249s - loss: 0.1486 - accuracy: 0.9572 - val_loss: 0.1544 - val_accuracy: 0.9597 - 249s/epoch - 6ms/step
+Epoch 11/20
+39501/39501 - 208s - loss: 0.1380 - accuracy: 0.9586 - val_loss: 0.1467 - val_accuracy: 0.9651 - 208s/epoch - 5ms/step
+Epoch 12/20
+39501/39501 - 210s - loss: 0.1321 - accuracy: 0.9592 - val_loss: 0.1313 - val_accuracy: 0.9665 - 210s/epoch - 5ms/step
+Epoch 13/20
+39501/39501 - 204s - loss: 0.1276 - accuracy: 0.9598 - val_loss: 0.1282 - val_accuracy: 0.9665 - 204s/epoch - 5ms/step
+Epoch 14/20
+39501/39501 - 193s - loss: 0.1222 - accuracy: 0.9604 - val_loss: 0.1174 - val_accuracy: 0.9686 - 193s/epoch - 5ms/step
+Epoch 15/20
+39501/39501 - 183s - loss: 0.1182 - accuracy: 0.9607 - val_loss: 0.1747 - val_accuracy: 0.9433 - 183s/epoch - 5ms/step
+Epoch 16/20
+39501/39501 - 166s - loss: 0.1147 - accuracy: 0.9611 - val_loss: 0.1186 - val_accuracy: 0.9679 - 166s/epoch - 4ms/step
+Epoch 17/20
+39501/39501 - 163s - loss: 0.1119 - accuracy: 0.9616 - val_loss: 0.1112 - val_accuracy: 0.9699 - 163s/epoch - 4ms/step
+Epoch 18/20
+39501/39501 - 168s - loss: 0.1095 - accuracy: 0.9618 - val_loss: 0.1020 - val_accuracy: 0.9706 - 168s/epoch - 4ms/step
+Epoch 19/20
+39501/39501 - 161s - loss: 0.1072 - accuracy: 0.9625 - val_loss: 0.1058 - val_accuracy: 0.9699 - 161s/epoch - 4ms/step
+Epoch 20/20
+39501/39501 - 173s - loss: 0.1052 - accuracy: 0.9624 - val_loss: 0.1031 - val_accuracy: 0.9727 - 173s/epoch - 4ms/step