model_accuracy/server/LEMON-master/run/sub_model/svhn_origin0-LR1-LR2-ARep3-LA6.json

{
    "edges": [
        [
            "Conv2D",
            "MaxPooling2D"
        ],
        [
            "MaxPooling2D",
            "Conv2D"
        ],
        [
            "MaxPooling2D",
            "Flatten"
        ],
        [
            "Flatten",
            "Dense"
        ],
        [
            "Dense",
            "Dense"
        ],
        [
            "Dense",
            "PReLU"
        ],
        [
            "PReLU",
            "Dense"
        ]
    ],
    "layer_config": {
        "Conv2D": [
            {
                "trainable": true,
                "kernel_size": [
                    5,
                    5
                ],
                "strides": [
                    1,
                    1
                ],
                "padding": "valid",
                "data_format": "channels_last",
                "dilation_rate": [
                    1,
                    1
                ],
                "activation": "linear",
                "use_bias": false,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            }
        ],
        "MaxPooling2D": [
            {
                "trainable": true,
                "pool_size": [
                    2,
                    2
                ],
                "padding": "valid",
                "strides": [
                    2,
                    2
                ],
                "data_format": "channels_last"
            }
        ],
        "Flatten": [
            {
                "trainable": true,
                "data_format": "channels_last"
            }
        ],
        "Dense": [
            {
                "trainable": true,
                "activation": "leakyrelu",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "relu",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            },
            {
                "trainable": true,
                "activation": "softmax",
                "use_bias": true,
                "kernel_initializer": {
                    "class_name": "VarianceScaling",
                    "config": {
                        "scale": 1.0,
                        "mode": "fan_avg",
                        "distribution": "uniform",
                        "seed": null
                    }
                },
                "bias_initializer": {
                    "class_name": "Zeros",
                    "config": {}
                },
                "kernel_regularizer": "None",
                "bias_regularizer": "None",
                "activity_regularizer": "None",
                "kernel_constraint": "None",
                "bias_constraint": "None"
            }
        ],
        "PReLU": [
            {
                "trainable": true,
                "batch_input_shape": [
                    null,
                    84
                ],
                "dtype": "float32",
                "alpha_initializer": {
                    "class_name": "RandomNormal",
                    "config": {
                        "mean": 0.0,
                        "stddev": 0.05,
                        "seed": null
                    }
                },
                "alpha_regularizer": "None",
                "alpha_constraint": "None",
                "shared_axes": "None"
            }
        ]
    },
    "layer_input_info": {
        "Conv2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(32), Dimension(32), Dimension(3)]",
                "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]"
            ]
        },
        "MaxPooling2D": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]",
                "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]"
            ]
        },
        "Flatten": {
            "input_dims": [
                4
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(5), Dimension(5), Dimension(16)]"
            ]
        },
        "Dense": {
            "input_dims": [
                2
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(None)]",
                "[Dimension(None), Dimension(120)]",
                "[Dimension(None), Dimension(84)]"
            ]
        },
        "PReLU": {
            "input_dims": [
                2
            ],
            "dtype": [
                "float32"
            ],
            "shape": [
                "[Dimension(None), Dimension(84)]"
            ]
        }
    },
    "layer_num": 9,
    "layer_type": [
        "Conv2D",
        "MaxPooling2D",
        "Flatten",
        "Dense",
        "PReLU"
    ],
    "cur_edge_num": 9,
    "layer_dims": {
        "Conv2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "MaxPooling2D": {
            "input_dims": [
                4
            ],
            "output_dims": [
                4
            ]
        },
        "Flatten": {
            "input_dims": [
                4
            ],
            "output_dims": [
                2
            ]
        },
        "Dense": {
            "input_dims": [
                2
            ],
            "output_dims": [
                2
            ]
        },
        "PReLU": {
            "input_dims": [
                2
            ],
            "output_dims": [
                2
            ]
        }
    }
}