emilesib
/
MLA_Learn_Periodic_Functions
Segui 1
Vota 0
Forka 0
Codice Problemi 0 Pull Requests 0 Rilasci 0 Wiki Attività
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
11 Commit
8 Rami (Branch)
Albero (Tree): 90b90e4c3d
Rami (Branch) Tag
${ item.name }
Crea branch ${ searchTerm }
da '90b90e4c3d'
${ noResults }
MLA_Learn_Periodic_Functions/code/RNN_prediction_meteo/rep.txt

rep.txt 760B
Originale Blame Cronologia

123456789101112 
  1. Epoch 1/5

  2. 78/78 [==============================] - 9s 90ms/step - loss: 0.6500 - binary_crossentropy: 0.6500 - mse: 0.0126

  3. Epoch 2/5

  4. 78/78 [==============================] - 7s 90ms/step - loss: 0.6390 - binary_crossentropy: 0.6390 - mse: 0.0074

  5. Epoch 3/5

  6. 78/78 [==============================] - 7s 91ms/step - loss: 0.6380 - binary_crossentropy: 0.6380 - mse: 0.0069

  7. Epoch 4/5

  8. 78/78 [==============================] - 7s 90ms/step - loss: 0.6370 - binary_crossentropy: 0.6370 - mse: 0.0065

  9. Epoch 5/5

  10. 78/78 [==============================] - 7s 91ms/step - loss: 0.6357 - binary_crossentropy: 0.6357 - mse: 0.0059

  11. 

  12. Trial 9 finished with value: 2.1265121155803857 and parameters: {'len_seq': 164, 'hidden': 126}. Best is trial 9 with value: 2.1265121155803857.