Research Article
The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment
Table 2
CNN model parameter settings.
| Various parameters |
| Layers | 7 layers of convolutional layer and 4 layers of pooling layer | Convolutional kernel | 3 × 3 | MaxPooling | 2 × 2 | Activation function | Multilabel classification: sigmoid neural network training model: ReLU | Optimizer | Adam | Stride | 1 | Dropout | 25% | Learning rate | 0.001 | Batch size | 32 | Epoch | 200 | Number of hidden layer neurons | 1024 |
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