Accuracy

[padirmiray]

Which one is the accuracy in this case?
Epoch 1/10
6072/6072 [==============================] - 110s 18ms/step - loss: 0.6284 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.5469 - val_top_k_categorical_accuracy: 1.0000
Epoch 2/10
6072/6072 [==============================] - 114s 19ms/step - loss: 0.5469 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4550 - val_top_k_categorical_accuracy: 1.0000
Epoch 3/10
6072/6072 [==============================] - 110s 18ms/step - loss: 0.5045 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4333 - val_top_k_categorical_accuracy: 1.0000
Epoch 4/10
6072/6072 [==============================] - 107s 18ms/step - loss: 0.4745 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4245 - val_top_k_categorical_accuracy: 1.0000
Epoch 5/10
6072/6072 [==============================] - 106s 17ms/step - loss: 0.4585 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4172 - val_top_k_categorical_accuracy: 1.0000
Epoch 6/10
6072/6072 [==============================] - 106s 17ms/step - loss: 0.4399 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4251 - val_top_k_categorical_accuracy: 1.0000
Epoch 7/10
6072/6072 [==============================] - 100s 16ms/step - loss: 0.4234 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3898 - val_top_k_categorical_accuracy: 1.0000
Epoch 8/10
6072/6072 [==============================] - 96s 16ms/step - loss: 0.4135 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3928 - val_top_k_categorical_accuracy: 1.0000
Epoch 9/10
6072/6072 [==============================] - 96s 16ms/step - loss: 0.4055 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3844 - val_top_k_categorical_accuracy: 1.0000
Epoch 10/10
6072/6072 [==============================] - 97s 16ms/step - loss: 0.4018 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3772 - val_top_k_categorical_accuracy: 1.0000

[dplutcho]

Should be the last one, which is for the last epoch. Loss should drop with each Epoch. Epoch 10/10 6072/6072 [==============================] - 97s 16ms/step - *loss: 0.4018* - top_k_categorical_accuracy: 1.0000 - *val_loss: 0.3772 *- val_top_k_categorical_accuracy: 1.0000 Darin Plutchok 206-909-3665

…

On Tue, Apr 16, 2019 at 12:11 PM padirmiray ***@***.***> wrote: Which one is the accuracy in this case? Epoch 1/10 6072/6072 [==============================] - 110s 18ms/step - loss: 0.6284 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.5469 - val_top_k_categorical_accuracy: 1.0000 Epoch 2/10 6072/6072 [==============================] - 114s 19ms/step - loss: 0.5469 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4550 - val_top_k_categorical_accuracy: 1.0000 Epoch 3/10 6072/6072 [==============================] - 110s 18ms/step - loss: 0.5045 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4333 - val_top_k_categorical_accuracy: 1.0000 Epoch 4/10 6072/6072 [==============================] - 107s 18ms/step - loss: 0.4745 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4245 - val_top_k_categorical_accuracy: 1.0000 Epoch 5/10 6072/6072 [==============================] - 106s 17ms/step - loss: 0.4585 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4172 - val_top_k_categorical_accuracy: 1.0000 Epoch 6/10 6072/6072 [==============================] - 106s 17ms/step - loss: 0.4399 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.4251 - val_top_k_categorical_accuracy: 1.0000 Epoch 7/10 6072/6072 [==============================] - 100s 16ms/step - loss: 0.4234 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3898 - val_top_k_categorical_accuracy: 1.0000 Epoch 8/10 6072/6072 [==============================] - 96s 16ms/step - loss: 0.4135 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3928 - val_top_k_categorical_accuracy: 1.0000 Epoch 9/10 6072/6072 [==============================] - 96s 16ms/step - loss: 0.4055 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3844 - val_top_k_categorical_accuracy: 1.0000 Epoch 10/10 6072/6072 [==============================] - 97s 16ms/step - loss: 0.4018 - top_k_categorical_accuracy: 1.0000 - val_loss: 0.3772 - val_top_k_categorical_accuracy: 1.0000 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#183>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADCufz3uWVdgY8WQSvVdyOWvyZTm11Ixks5vhiBhgaJpZM4czgzG> .