readme: # RNA_Project
  
  # Projeto Final - Modelos Preditivos Conexionistas
  
  ### Aluno - Caio Emanoel Serpa Lopes
  
  ### Tutor - Vitor Casadei
  
  ---
  |**Tipo de Projeto**|**Modelo Selecionado**|**Linguagem**|
  |--|--|--|
  |Classificação de Imagens|MobileNetV2|Tensorflow|
  
  [Clique aqui para rodar o modelo via browser (roboflow)](https://classify.roboflow.com/?model=classifier_animals&version=2&api_key=IDPIYW7fvVaFbVq3eTlB)
  # Performance
  
  O modelo treinado possui performance de **100%**.
  
  ## Output do bloco de treinamento
  
  <details>
    <summary>Click to expand!</summary>
    
    ```Epoch 1/1000
  2/2 [==============================] - ETA: 0s - loss: 1.0496 - accuracy: 0.3750
  Epoch 1: saving model to training_1/cp.ckpt
  2/2 [==============================] - 9s 4s/step - loss: 1.0496 - accuracy: 0.3750 - val_loss: 0.8153 - val_accuracy: 0.4237
  Epoch 2/1000
  2/2 [==============================] - ETA: 0s - loss: 1.0002 - accuracy: 0.3281
  Epoch 2: saving model to training_1/cp.ckpt
  2/2 [==============================] - 4s 2s/step - loss: 1.0002 - accuracy: 0.3281 - val_loss: 0.7967 - val_accuracy: 0.4407
  Epoch 3/1000
  2/2 [==============================] - ETA: 0s - loss: 1.0473 - accuracy: 0.3594
  Epoch 3: saving model to training_1/cp.ckpt
  2/2 [==============================] - 3s 2s/step - loss: 1.0473 - accuracy: 0.3594 - val_loss: 0.7953 - val_accuracy: 0.4237
  Epoch 4/1000
  2/2 [==============================] - ETA: 0s - loss: 0.9252 - accuracy: 0.3250
  Epoch 4: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 1s/step - loss: 0.9252 - accuracy: 0.3250 - val_loss: 0.8039 - val_accuracy: 0.3729
  Epoch 5/1000
  2/2 [==============================] - ETA: 0s - loss: 0.9771 - accuracy: 0.3000
  Epoch 5: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 781ms/step - loss: 0.9771 - accuracy: 0.3000 - val_loss: 0.8116 - val_accuracy: 0.3729
  Epoch 6/1000
  2/2 [==============================] - ETA: 0s - loss: 0.9402 - accuracy: 0.3125
  Epoch 6: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 789ms/step - loss: 0.9402 - accuracy: 0.3125 - val_loss: 0.8183 - val_accuracy: 0.3898
  Epoch 7/1000
  2/2 [==============================] - ETA: 0s - loss: 0.8416 - accuracy: 0.4750
  Epoch 7: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 1s/step - loss: 0.8416 - accuracy: 0.4750 - val_loss: 0.8229 - val_accuracy: 0.3898
  Epoch 8/1000
  2/2 [==============================] - ETA: 0s - loss: 0.8543 - accuracy: 0.3516
  Epoch 8: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 913ms/step - loss: 0.8543 - accuracy: 0.3516 - val_loss: 0.8213 - val_accuracy: 0.4068
  Epoch 9/1000
  2/2 [==============================] - ETA: 0s - loss: 0.7657 - accuracy: 0.4844
  Epoch 9: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 908ms/step - loss: 0.7657 - accuracy: 0.4844 - val_loss: 0.8124 - val_accuracy: 0.4068
  Epoch 10/1000
  2/2 [==============================] - ETA: 0s - loss: 0.8208 - accuracy: 0.3125
  Epoch 10: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 1s/step - loss: 0.8208 - accuracy: 0.3125 - val_loss: 0.8035 - val_accuracy: 0.4237
  Epoch 11/1000
  2/2 [==============================] - ETA: 0s - loss: 0.8510 - accuracy: 0.3875
  Epoch 11: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 789ms/step - loss: 0.8510 - accuracy: 0.3875 - val_loss: 0.7868 - val_accuracy: 0.4237
  Epoch 12/1000
  2/2 [==============================] - ETA: 0s - loss: 0.7841 - accuracy: 0.4609
  Epoch 12: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 896ms/step - loss: 0.7841 - accuracy: 0.4609 - val_loss: 0.7674 - val_accuracy: 0.4407
  Epoch 13/1000
  2/2 [==============================] - ETA: 0s - loss: 0.7320 - accuracy: 0.5125
  Epoch 13: saving model to training_1/cp.ckpt
  2/2 [==============================] - 2s 1s/step - loss: 0.7320 - accuracy: 0.5125 - val_loss: 0.7513 - val_accuracy: 0.4576
  Epoch 14/1000
  2/2 [==============================] - ETA: 0s - loss: 0.7788 - accuracy: 0.3828
  Epoch 14: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 908ms/step - loss: 0.7788 - accuracy: 0.3828 - val_loss: 0.7345 - val_accuracy: 0.4915
  Epoch 15/1000
  2/2 [==============================] - ETA: 0s - loss: 0.8054 - accuracy: 0.3250
  Epoch 15: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 803ms/step - loss: 0.8054 - accuracy: 0.3250 - val_loss: 0.7162 - val_accuracy: 0.4915
  Epoch 16/1000
  2/2 [==============================] - ETA: 0s - loss: 0.7073 - accuracy: 0.5125
  Epoch 16: saving model to training_1/cp.ckpt
  2/2 [==============================] - 1s 1s/step - loss: 0.7073 - accuracy: 0.5125 - val_loss: 0.6949 - val_accuracy: 0.5085
  Epoch 17/1000
  2/2 [==============================] - ETA: 0s - loss: 0.7984 - accuracy: 0.4250
  Epoch 17: saving model to training_1/cp.ckpt
  2/2 [==========================