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Add configs for rescaled harmonics experiments
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15 changes: 15 additions & 0 deletions
15
deep_bottleneck/configs/cohort_11_rescaled_harmonics/normal_relu.json
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| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 1, | ||
| "initial_bias": 0 | ||
| } |
15 changes: 15 additions & 0 deletions
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deep_bottleneck/configs/cohort_11_rescaled_harmonics/normal_relu_multirun.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 5, | ||
| "initial_bias": 0 | ||
| } |
15 changes: 15 additions & 0 deletions
15
deep_bottleneck/configs/cohort_11_rescaled_harmonics/normal_tanh.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 1, | ||
| "initial_bias": 0 | ||
| } |
15 changes: 15 additions & 0 deletions
15
deep_bottleneck/configs/cohort_11_rescaled_harmonics/normal_tanh_multirun.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 5, | ||
| "initial_bias": 0 | ||
| } |
15 changes: 15 additions & 0 deletions
15
deep_bottleneck/configs/cohort_11_rescaled_harmonics/rescaled_relu.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics_zero_mean", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 1, | ||
| "initial_bias": 0 | ||
| } |
15 changes: 15 additions & 0 deletions
15
deep_bottleneck/configs/cohort_11_rescaled_harmonics/rescaled_relu_multirun.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics_zero_mean", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 5, | ||
| "initial_bias": 0 | ||
| } |
15 changes: 15 additions & 0 deletions
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deep_bottleneck/configs/cohort_11_rescaled_harmonics/rescaled_tanh.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics_zero_mean", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 1, | ||
| "initial_bias": 0 | ||
| } |
15 changes: 15 additions & 0 deletions
15
deep_bottleneck/configs/cohort_11_rescaled_harmonics/rescaled_tanh_multirun.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| { | ||
| "epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "optimizer": "adam", | ||
| "learning_rate": 0.0004, | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics_zero_mean", | ||
| "estimator": "mi_estimator.binning", | ||
| "discretization_range": 0.07, | ||
| "callbacks": [], | ||
| "n_runs": 5, | ||
| "initial_bias": 0 | ||
| } |