| { |
| "model_name": "xoakkeyy-gan", |
| "model_type": "dcgan", |
| "generator": { |
| "input_shape": [100], |
| "hidden_layers": [ |
| {"units": 256, "activation": "relu"}, |
| {"units": 512, "activation": "relu"}, |
| {"units": 1024, "activation": "relu"} |
| ], |
| "output_shape": [64, 64, 3], |
| "output_activation": "tanh" |
| }, |
| "discriminator": { |
| "input_shape": [64, 64, 3], |
| "hidden_layers": [ |
| {"units": 512, "activation": "relu"}, |
| {"units": 256, "activation": "relu"} |
| ], |
| "output_shape": [1], |
| "output_activation": "sigmoid" |
| }, |
| "optimizer": { |
| "generator": { |
| "type": "Adam", |
| "learning_rate": 0.0002, |
| "beta_1": 0.5 |
| }, |
| "discriminator": { |
| "type": "Adam", |
| "learning_rate": 0.0002, |
| "beta_1": 0.5 |
| } |
| }, |
| "loss_functions": { |
| "generator": "binary_crossentropy", |
| "discriminator": "binary_crossentropy" |
| } |
| } |
|
|
