Model: "sequential_4"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
conv2d (Conv2D) (None, 28, 28, 16) 160
max_pooling2d (MaxPooling2 (None, 14, 14, 16) 0
D)
conv2d_1 (Conv2D) (None, 12, 12, 32) 4640
max_pooling2d_1 (MaxPoolin (None, 6, 6, 32) 0
g2D)
conv2d_2 (Conv2D) (None, 4, 4, 64) 18496
max_pooling2d_2 (MaxPoolin (None, 2, 2, 64) 0
g2D)
flatten (Flatten) (None, 256) 0
dense_12 (Dense) (None, 1024) 263168
dropout_8 (Dropout) (None, 1024) 0
dense_13 (Dense) (None, 1) 1025
=================================================================
Total params: 287489 (1.10 MB)
Trainable params: 287489 (1.10 MB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
Epoch 1/500
49/49 [==============================] - 3s 30ms/step - loss: 8783.6934 - mae: 79.2793 - val_loss: 23919.9824 - val_mae: 153.3512
Epoch 2/500
49/49 [==============================] - 1s 24ms/step - loss: 5560.1348 - mae: 57.3450 - val_loss: 16897.6641 - val_mae: 127.9223
Epoch 3/500
49/49 [==============================] - 1s 25ms/step - loss: 3640.8965 - mae: 45.3895 - val_loss: 11647.0938 - val_mae: 104.5464
Epoch 4/500
49/49 [==============================] - 1s 24ms/step - loss: 2972.8508 - mae: 44.1704 - val_loss: 9275.5312 - val_mae: 91.9277
Epoch 5/500
49/49 [==============================] - 2s 37ms/step - loss: 2902.3555 - mae: 44.9974 - val_loss: 8593.6064 - val_mae: 88.0960
Epoch 6/500
49/49 [==============================] - 2s 40ms/step - loss: 2796.7896 - mae: 44.1494 - val_loss: 8624.0049 - val_mae: 88.4675
Epoch 7/500
49/49 [==============================] - 2s 34ms/step - loss: 2803.0557 - mae: 44.3639 - val_loss: 8441.4902 - val_mae: 87.5652
Epoch 8/500
49/49 [==============================] - 1s 24ms/step - loss: 2676.3425 - mae: 43.8440 - val_loss: 8432.2676 - val_mae: 87.6492
Epoch 9/500
49/49 [==============================] - 1s 24ms/step - loss: 2730.7681 - mae: 43.9641 - val_loss: 8380.4463 - val_mae: 87.4901
Epoch 10/500
49/49 [==============================] - 1s 24ms/step - loss: 2676.8225 - mae: 43.7876 - val_loss: 8491.7959 - val_mae: 88.2584
Epoch 11/500
49/49 [==============================] - 1s 24ms/step - loss: 2642.9917 - mae: 43.7902 - val_loss: 8252.4648 - val_mae: 86.9076
Epoch 12/500
49/49 [==============================] - 1s 24ms/step - loss: 2624.6719 - mae: 43.4977 - val_loss: 8237.3662 - val_mae: 86.9013
Epoch 13/500
49/49 [==============================] - 1s 25ms/step - loss: 2515.7878 - mae: 42.6429 - val_loss: 8255.8027 - val_mae: 87.0763
Epoch 14/500
49/49 [==============================] - 1s 25ms/step - loss: 2561.5576 - mae: 43.1373 - val_loss: 8160.2520 - val_mae: 86.5510
Epoch 15/500
49/49 [==============================] - 1s 30ms/step - loss: 2559.7727 - mae: 43.1769 - val_loss: 8079.6519 - val_mae: 86.0761
Epoch 16/500
49/49 [==============================] - 2s 40ms/step - loss: 2522.6301 - mae: 43.2910 - val_loss: 7952.2378 - val_mae: 85.3542
Epoch 17/500
49/49 [==============================] - 2s 41ms/step - loss: 2485.5303 - mae: 42.8767 - val_loss: 8168.2744 - val_mae: 86.6600
Epoch 18/500
49/49 [==============================] - 1s 25ms/step - loss: 2478.9304 - mae: 42.5799 - val_loss: 8114.6104 - val_mae: 86.3605
Epoch 19/500
49/49 [==============================] - 1s 26ms/step - loss: 2429.5735 - mae: 42.2204 - val_loss: 7747.6743 - val_mae: 84.1310
Epoch 20/500
49/49 [==============================] - 1s 24ms/step - loss: 2469.8669 - mae: 43.1291 - val_loss: 8195.1270 - val_mae: 86.8622
Epoch 21/500
49/49 [==============================] - 1s 24ms/step - loss: 2406.6201 - mae: 41.7044 - val_loss: 7970.7666 - val_mae: 85.5228
Epoch 22/500
49/49 [==============================] - 1s 24ms/step - loss: 2439.7371 - mae: 42.5585 - val_loss: 8077.5166 - val_mae: 86.1746
Epoch 23/500
49/49 [==============================] - 1s 25ms/step - loss: 2373.3589 - mae: 42.0413 - val_loss: 7941.6050 - val_mae: 85.3480
Epoch 24/500
49/49 [==============================] - 1s 23ms/step - loss: 2372.7849 - mae: 41.8654 - val_loss: 8027.4219 - val_mae: 85.8794
Epoch 25/500
49/49 [==============================] - 1s 25ms/step - loss: 2442.0447 - mae: 42.5928 - val_loss: 7854.9419 - val_mae: 84.8336
Epoch 26/500
49/49 [==============================] - 2s 36ms/step - loss: 2349.2097 - mae: 41.9530 - val_loss: 7798.0430 - val_mae: 84.4892
Epoch 27/500
49/49 [==============================] - 2s 39ms/step - loss: 2305.4712 - mae: 41.4526 - val_loss: 7750.6553 - val_mae: 84.1807
Epoch 28/500
49/49 [==============================] - 2s 33ms/step - loss: 2308.5984 - mae: 41.9087 - val_loss: 7930.1562 - val_mae: 85.2873
Epoch 29/500
48/49 [============================>.] - ETA: 0s - loss: 2326.1482 - mae: 41.6373Restoring model weights from the end of the best epoch: 19.
49/49 [==============================] - 1s 25ms/step - loss: 2329.3354 - mae: 41.6877 - val_loss: 7890.0352 - val_mae: 85.0312
Epoch 29: early stopping
13/13 [==============================] - 0s 8ms/step - loss: 7747.6743 - mae: 84.1310
Test Loss: 7747.67431640625
Test MAE: 84.13101959228516
13/13 [==============================] - 0s 7ms/step