params.json

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