Python, Django, tensorflow
* Python == 3.7
* Django == 3.1.1
* Tensorflow == 2.4.1
* scikit-learn == 0.24.1
* colorama == 0.4.4
* Model: "sequential_2"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_2 (Embedding) (None, 20, 16) 16000
_________________________________________________________________
global_average_pooling1d_2 ( (None, 16) 0
_________________________________________________________________
dense_6 (Dense) (None, 16) 272
_________________________________________________________________
dense_7 (Dense) (None, 16) 272
_________________________________________________________________
dense_8 (Dense) (None, 8) 136
=================================================================
Total params: 16,680
Trainable params: 16,680
Non-trainable params: 0
_________________________________________________________________
* Epoch -> 490
* 최종 loss: 0.5963 - accuracy: 0.8775
* 채팅 환경 구축 완료 , 모델 로드 및 JWbot answering fuction 완료
* Django 환경 구축 -> Flask사용 배포 (진행중)
* 모델 성능 개선 연구중 (model on 21.02.13 = loss: 0.5963 - accuracy: 0.8775)