Epoch 1/10 102/102 [==============================] – 1s 3ms/step – loss: 2.1570 – mae: 1.1738 – val_loss: 1.9768 – val_mae: 1.1114 Epoch 2/10 102/102 [==============================] – 0s 2ms/step – loss: 1.0467 – mae: 0.7564 – val_loss: 1.7705 – val_mae: 1.0883 Epoch 3/10 102/102 [==============================] – 0s 2ms/step – loss: 0.4408 – mae: 0.4885 – val_loss: 1.7413 – val_mae: 1.0596 Epoch 4/10 102/102 [==============================] – 0s 2ms/step – loss: 0.3026 – mae: 0.3916 – val_loss: 1.6404 – val_mae: 1.0242 Epoch 5/10 102/102 [==============================] – 0s 3ms/step – loss: 0.2146 – mae: 0.3167 – val_loss: 1.6466 – val_mae: 1.0354 Epoch 6/10 102/102 [==============================] – 0s 2ms/step – loss: 0.1584 – mae: 0.2664 – val_loss: 1.6535 – val_mae: 1.0311 Epoch 7/10 102/102 [==============================] – 0s 2ms/step – loss: 0.1262 – mae: 0.2351 – val_loss: 1.6146 – val_mae: 1.0215 Epoch 8/10 102/102 [==============================] – 0s 2ms/step – loss: 0.1029 – mae: 0.2090 – val_loss: 1.5955 – val_mae: 1.0156 Epoch 9/10 102/102 [==============================] – 0s 2ms/step – loss: 0.0929 – mae: 0.1936 – val_loss: 1.6060 – val_mae: 1.0129 Epoch 10/10 102/102 [==============================] – 0s 2ms/step – loss: 0.0926 – mae: 0.1874 – val_loss: 1.5877 – val_mae: 1.0155 26/26 [==============================] – 0s 460us/step 26/26 [==============================] – 0s 401us/step – loss: 1.5877 – mae: 1.0155 Mean Absolute Error: 1.0154569149017334