{
  "module": "keras",
  "class_name": "Sequential",
  "config": {
    "name": "sequential",
    "trainable": true,
    "dtype": "float32",
    "layers": [
      {
        "module": "keras.layers",
        "class_name": "InputLayer",
        "config": {
          "batch_shape": [null, 48, 48, 1],
          "dtype": "float32",
          "sparse": false,
          "name": "input_layer"
        },
        "registered_name": null
      },
      {
        "module": "keras.layers",
        "class_name": "Conv2D",
        "config": {
          "name": "conv2d",
          "trainable": true,
          "dtype": "float32",
          "filters": 128,
          "kernel_size": [3, 3],
          "strides": [1, 1],
          "padding": "valid",
          "data_format": "channels_last",
          "dilation_rate": [1, 1],
          "groups": 1,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "module": "keras.initializers",
            "class_name": "GlorotUniform",
            "config": { "seed": null },
            "registered_name": null
          },
          "bias_initializer": {
            "module": "keras.initializers",
            "class_name": "Zeros",
            "config": {},
            "registered_name": null
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 48, 48, 1] }
      },
      {
        "module": "keras.layers",
        "class_name": "MaxPooling2D",
        "config": {
          "name": "max_pooling2d",
          "trainable": true,
          "dtype": "float32",
          "pool_size": [2, 2],
          "padding": "valid",
          "strides": [2, 2],
          "data_format": "channels_last"
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 46, 46, 128] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dropout",
        "config": {
          "name": "dropout",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.4,
          "seed": null,
          "noise_shape": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 23, 23, 128] }
      },
      {
        "module": "keras.layers",
        "class_name": "Conv2D",
        "config": {
          "name": "conv2d_1",
          "trainable": true,
          "dtype": "float32",
          "filters": 256,
          "kernel_size": [3, 3],
          "strides": [1, 1],
          "padding": "valid",
          "data_format": "channels_last",
          "dilation_rate": [1, 1],
          "groups": 1,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "module": "keras.initializers",
            "class_name": "GlorotUniform",
            "config": { "seed": null },
            "registered_name": null
          },
          "bias_initializer": {
            "module": "keras.initializers",
            "class_name": "Zeros",
            "config": {},
            "registered_name": null
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 23, 23, 128] }
      },
      {
        "module": "keras.layers",
        "class_name": "MaxPooling2D",
        "config": {
          "name": "max_pooling2d_1",
          "trainable": true,
          "dtype": "float32",
          "pool_size": [2, 2],
          "padding": "valid",
          "strides": [2, 2],
          "data_format": "channels_last"
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 21, 21, 256] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dropout",
        "config": {
          "name": "dropout_1",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.4,
          "seed": null,
          "noise_shape": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 10, 10, 256] }
      },
      {
        "module": "keras.layers",
        "class_name": "Conv2D",
        "config": {
          "name": "conv2d_2",
          "trainable": true,
          "dtype": "float32",
          "filters": 512,
          "kernel_size": [3, 3],
          "strides": [1, 1],
          "padding": "valid",
          "data_format": "channels_last",
          "dilation_rate": [1, 1],
          "groups": 1,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "module": "keras.initializers",
            "class_name": "GlorotUniform",
            "config": { "seed": null },
            "registered_name": null
          },
          "bias_initializer": {
            "module": "keras.initializers",
            "class_name": "Zeros",
            "config": {},
            "registered_name": null
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 10, 10, 256] }
      },
      {
        "module": "keras.layers",
        "class_name": "MaxPooling2D",
        "config": {
          "name": "max_pooling2d_2",
          "trainable": true,
          "dtype": "float32",
          "pool_size": [2, 2],
          "padding": "valid",
          "strides": [2, 2],
          "data_format": "channels_last"
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 8, 8, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dropout",
        "config": {
          "name": "dropout_2",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.4,
          "seed": null,
          "noise_shape": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 4, 4, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Conv2D",
        "config": {
          "name": "conv2d_3",
          "trainable": true,
          "dtype": "float32",
          "filters": 512,
          "kernel_size": [3, 3],
          "strides": [1, 1],
          "padding": "valid",
          "data_format": "channels_last",
          "dilation_rate": [1, 1],
          "groups": 1,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "module": "keras.initializers",
            "class_name": "GlorotUniform",
            "config": { "seed": null },
            "registered_name": null
          },
          "bias_initializer": {
            "module": "keras.initializers",
            "class_name": "Zeros",
            "config": {},
            "registered_name": null
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 4, 4, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "MaxPooling2D",
        "config": {
          "name": "max_pooling2d_3",
          "trainable": true,
          "dtype": "float32",
          "pool_size": [2, 2],
          "padding": "valid",
          "strides": [2, 2],
          "data_format": "channels_last"
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 2, 2, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dropout",
        "config": {
          "name": "dropout_3",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.4,
          "seed": null,
          "noise_shape": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 1, 1, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Flatten",
        "config": {
          "name": "flatten",
          "trainable": true,
          "dtype": "float32",
          "data_format": "channels_last"
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 1, 1, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dense",
        "config": {
          "name": "dense",
          "trainable": true,
          "dtype": "float32",
          "units": 512,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "module": "keras.initializers",
            "class_name": "GlorotUniform",
            "config": { "seed": null },
            "registered_name": null
          },
          "bias_initializer": {
            "module": "keras.initializers",
            "class_name": "Zeros",
            "config": {},
            "registered_name": null
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dropout",
        "config": {
          "name": "dropout_4",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.4,
          "seed": null,
          "noise_shape": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dense",
        "config": {
          "name": "dense_1",
          "trainable": true,
          "dtype": "float32",
          "units": 256,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "module": "keras.initializers",
            "class_name": "GlorotUniform",
            "config": { "seed": null },
            "registered_name": null
          },
          "bias_initializer": {
            "module": "keras.initializers",
            "class_name": "Zeros",
            "config": {},
            "registered_name": null
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 512] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dropout",
        "config": {
          "name": "dropout_5",
          "trainable": true,
          "dtype": "float32",
          "rate": 0.3,
          "seed": null,
          "noise_shape": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 256] }
      },
      {
        "module": "keras.layers",
        "class_name": "Dense",
        "config": {
          "name": "dense_2",
          "trainable": true,
          "dtype": "float32",
          "units": 7,
          "activation": "softmax",
          "use_bias": true,
          "kernel_initializer": {
            "module": "keras.initializers",
            "class_name": "GlorotUniform",
            "config": { "seed": null },
            "registered_name": null
          },
          "bias_initializer": {
            "module": "keras.initializers",
            "class_name": "Zeros",
            "config": {},
            "registered_name": null
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "registered_name": null,
        "build_config": { "input_shape": [null, 256] }
      }
    ],
    "build_input_shape": [null, 48, 48, 1]
  },
  "registered_name": null,
  "build_config": { "input_shape": [null, 48, 48, 1] },
  "compile_config": {
    "optimizer": "adam",
    "loss": "categorical_crossentropy",
    "loss_weights": null,
    "metrics": ["accuracy"],
    "weighted_metrics": null,
    "run_eagerly": false,
    "steps_per_execution": 1,
    "jit_compile": false
  }
}