a b/experiments/base_model/params.json
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{
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    "learning_rate": 5e-3,
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    "wd": 0.0,
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    "optimizer": "adam",
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    "momentum": 0.0,
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    "batch_size": 200,
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    "num_epochs": 5000,
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    "dropout_rate": 0.25, 
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    "num_fc": 2,
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    "save_summary_steps": 5,
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    "num_workers": 0,
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    "size": 51,
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    "bottleneck_loss": true,
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    "bn_loss_type": "regressor-least-squares",
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    "bn_place": "single-regressor",
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    "bottleneck_loss_wt": 1,
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    "bn_loss_lag_epochs": -1,
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    "bn_loss_margin_type": "dynamic-mean",
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    "bn_loss_margin": 0.0,
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    "regressor_z_dim": 5,
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    "regressor_x_dim": 1,
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    "size_measurement": "area",
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    "size_offset": 5,
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    "alpha": 1.0,
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    "loss_x_type": "least-squares",
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    "multi_task": true,
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    "conditioning_place": "regressor",
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    "suppress_t_epochs": -1,
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    "lr_t_factor": 1,
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    "speedup_intercept": true,
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    "do_least_squares": true,
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    "monitor_train_tensors": false,
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    "save_bn_activations": false,
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    "save_preds": false
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}