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Epoch 203/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0602 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0933 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 204/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0539 - sparse_categorical_accuracy: 0.9854 - val_loss: 0.0956 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 205/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0561 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0947 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 206/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0604 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.1132 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 207/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0564 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0930 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 208/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0615 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0941 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 209/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0555 - sparse_categorical_accuracy: 0.9830 - val_loss: 0.0900 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 210/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0589 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0936 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 211/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0615 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0947 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 212/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0599 - sparse_categorical_accuracy: 0.9799 - val_loss: 0.0943 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 213/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0599 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0908 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 214/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0548 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.1143 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 215/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0526 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.0965 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 216/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0588 - sparse_categorical_accuracy: 0.9830 - val_loss: 0.0958 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 217/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0549 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.0942 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 218/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0513 - sparse_categorical_accuracy: 0.9833 - val_loss: 0.1027 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 219/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0555 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.1217 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 220/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0572 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.0933 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 221/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0545 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0959 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 222/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0545 - sparse_categorical_accuracy: 0.9833 - val_loss: 0.1163 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 223/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0556 - sparse_categorical_accuracy: 0.9830 - val_loss: 0.0955 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 224/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0566 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.0931 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 225/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0543 - sparse_categorical_accuracy: 0.9851 - val_loss: 0.0915 - val_sparse_categorical_accuracy: 0.9667 |
Epoch 226/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0566 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0931 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 227/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0528 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0984 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 228/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0576 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.1019 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 229/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0572 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0908 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 230/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0543 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0923 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 231/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0566 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.0960 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 232/500 |
90/90 [==============================] - 0s 6ms/step - loss: 0.0539 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0954 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 233/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0536 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0965 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 234/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0512 - sparse_categorical_accuracy: 0.9865 - val_loss: 0.0945 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 235/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0528 - sparse_categorical_accuracy: 0.9851 - val_loss: 0.0925 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 236/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0497 - sparse_categorical_accuracy: 0.9861 - val_loss: 0.0974 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 237/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0529 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0957 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 238/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0552 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0961 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 239/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0573 - sparse_categorical_accuracy: 0.9830 - val_loss: 0.0943 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 240/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0558 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.0935 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 241/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0526 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0958 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 242/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0488 - sparse_categorical_accuracy: 0.9861 - val_loss: 0.0976 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 243/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0499 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0935 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 244/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0505 - sparse_categorical_accuracy: 0.9861 - val_loss: 0.0945 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 245/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0483 - sparse_categorical_accuracy: 0.9861 - val_loss: 0.0952 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 246/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0524 - sparse_categorical_accuracy: 0.9847 - val_loss: 0.0958 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 247/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0507 - sparse_categorical_accuracy: 0.9851 - val_loss: 0.0934 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 248/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0553 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0946 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 249/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0577 - sparse_categorical_accuracy: 0.9809 - val_loss: 0.0979 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 250/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0535 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0979 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 251/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0509 - sparse_categorical_accuracy: 0.9847 - val_loss: 0.0937 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 252/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0571 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0937 - val_sparse_categorical_accuracy: 0.9612 |
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