Heating controller with neural thermal model written in Python
Jacek Kowalski
2018-06-24 66a9fb40efe1311b34a3cee3f83f10c6990759af
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` H model_config6`ÐUh`(TREEÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿH HEAPX( dense_1dense_2dense_3dense_40SNOD8`€8V`V€XGCOL2.1.3
tensorflow6{"config": [{"config": {"units": 14, "trainable": true, "activation": "linear", "name": "dense_1", "use_bias": true, "dtype": "float32", "kernel_constraint": null, "batch_input_shape": [null, 28], "activity_regularizer": null, "kernel_initializer": {"config": {"minval": -0.05, "seed": null, "maxval": 0.05}, "class_name": "RandomUniform"}, "bias_regularizer": null, "bias_initializer": {"config": {}, "class_name": "Zeros"}, "bias_constraint": null, "kernel_regularizer": null}, "class_name": "Dense"}, {"config": {"units": 7, "trainable": true, "activation": "linear", "name": "dense_2", "use_bias": true, "kernel_initializer": {"config": {"minval": -0.05, "seed": null, "maxval": 0.05}, "class_name": "RandomUniform"}, "kernel_constraint": null, "activity_regularizer": null, "bias_regularizer": null, "bias_initializer": {"config": {}, "class_name": "Zeros"}, "bias_constraint": null, "kernel_regularizer": null}, "class_name": "Dense"}, {"config": {"units": 3, "trainable": true, "activation": "linear", "name": "dense_3", "use_bias": true, "kernel_initializer": {"config": {"minval": -0.05, "seed": null, "maxval": 0.05}, "class_name": "RandomUniform"}, "kernel_constraint": null, "activity_regularizer": null, "bias_regularizer": null, "bias_initializer": {"config": {}, "class_name": "Zeros"}, "bias_constraint": null, "kernel_regularizer": null}, "class_name": "Dense"}, {"config": {"units": 1, "trainable": true, "activation": "linear", "name": "dense_4", "use_bias": true, "kernel_initializer": {"config": {"minval": -0.05, "seed": null, "maxval": 0.05}, "class_name": "RandomUniform"}, "kernel_constraint": null, "activity_regularizer": null, "bias_regularizer": null, "bias_initializer": {"config": {}, "class_name": "Zeros"}, "bias_constraint": null, "kernel_regularizer": null}, "class_name": "Dense"}], "class_name": "Sequential"}
tensorflow2.1.3à{"loss_weights": null, "optimizer_config": {"config": {"decay": 0.0, "epsilon": 1e-07, "lr": 0.009999999776482582}, "class_name": "Adagrad"}, "metrics": ["accuracy"], "loss": "mean_squared_error", "sample_weight_mode": null}H`€ X layer_namesdense_1dense_2dense_3dense_4 @backend
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