model.json

"{\"optimizer\": {\"lr\": 0.20000000298023224, \"decay\": 0.0, \"nesterov\": false, \"momentum\": 0.0, \"name\": \"SGD\"}, \"sample_weight_mode\": null, \"layers\": [{\"W_constraint\": null, \"input_shape\": [2], \"output_dim\": 100, \"init\": \"glorot_uniform\", \"custom_name\": \"dense\", \"activation\": \"relu\", \"W_regularizer\": null, \"input_dim\": null, \"b_constraint\": null, \"trainable\": true, \"b_regularizer\": null, \"name\": \"Dense\", \"activity_regularizer\": null, \"cache_enabled\": true}, {\"W_constraint\": null, \"activity_regularizer\": null, \"output_dim\": 100, \"init\": \"glorot_uniform\", \"custom_name\": \"dense\", \"activation\": \"relu\", \"W_regularizer\": null, \"input_dim\": null, \"b_constraint\": null, \"trainable\": true, \"b_regularizer\": null, \"name\": \"Dense\", \"cache_enabled\": true}, {\"W_constraint\": null, \"activity_regularizer\": null, \"output_dim\": 3, \"init\": \"glorot_uniform\", \"custom_name\": \"dense\", \"activation\": \"linear\", \"W_regularizer\": null, \"input_dim\": null, \"b_constraint\": null, \"trainable\": true, \"b_regularizer\": null, \"name\": \"Dense\", \"cache_enabled\": true}], \"loss\": \"mean_squared_error\", \"name\": \"Sequential\"}"