코드를 실행하면 모델에 대한 구조(네트워크)를 보여 줍니다.
Model( (all_embeddings): ModuleList( (0): Embedding(4, 2) (1): Embedding(4, 2) (2): Embedding(4, 2) (3): Embedding(3, 2) (4): Embedding(3, 2) (5): Embedding(3, 2) ) (embedding_dropout): Dropout(p=0.4, inplace=False) (layers): Sequential( (0): Linear(in_features=12, out_features=200, bias=True) (1): ReLU(inplace=True) (2): BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (3): Dropout(p=0.4, inplace=False) (4): Linear(in_features=200, out_features=100, bias=True) (5): ReLU(inplace=True) (6): BatchNorm1d(100, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (7): Dropout(p=0.4, inplace=False) (8): Linear(in_features=100, out_features=50, bias=True) (9): ReLU(inplace=True) (10): BatchNorm1d(50, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (11): Dropout(p=0.4, inplace=False) (12): Linear(in_features=50, out_features=4, bias=True) ) )