Research Article
Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning
Table 2
Description of the created CNN and its layers.
| # | Layers | Values |
| 1 | Convolution2D | Number of filters: 32 Kernel size: Activation function | 2 | Dropout | 0.2 | 3 | Dense | 4608, activation function: ReLu | 4 | Dense | 128, activation function: ReLu | 5 | Dropout | 0.2 | 6 | Dense | 64, activation function: ReLu | 7 | GlobalAveragePooling2D | ā | 8 | Dropout | 0.5 | 9 | Dense | 3, activation function: Softmax |
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