-
Notifications
You must be signed in to change notification settings - Fork 4
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
* Refactor full_mi flag * Add optimizer parameter * Rename full_mi parameter * Extract parameters in plotter functions * Add network activity plots * Add activation plot to artifact viewer * Add new configs and a script to change the names * Fix experiment.sge * Add cohort_4 and correct snr * Add json-generation script * Change gitignore * Add Cohort 6 * Refactor json-generator-script
- Loading branch information
Showing
33 changed files
with
524 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -123,3 +123,9 @@ output/ | |
|
|
||
| # Information measures | ||
| information_measures.csv | ||
|
|
||
| # Logs | ||
| logs/ | ||
|
|
||
| # Core-file | ||
| core | ||
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_elu.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "elu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_hard_sigmoid.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "hard_sigmoid", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_leaky_relu.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "leaky_relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_linear.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "linear", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_relu.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_relu6.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu6", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_selu.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "selu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_sigmoid.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "sigmoid", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_softplus.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "softplus", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_softsign.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "softsign", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_5/cohort_5_activationfn_tanh.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10_7_5.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10_7_5_4.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10_7_5_4_3.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10_7_7_4_3.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 7, 4, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10_9_7_3_3.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 9, 7, 3, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10_9_7_5_3.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 9, 7, 5, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_10_9_7_7_3.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 9, 7, 7, 3], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/relu/cohort_6_relu_architecture_1_1_1_1.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [1, 1, 1, 1], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "relu", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/tanh/cohort_6_tanh_architecture_.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/tanh/cohort_6_tanh_architecture_10.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
14 changes: 14 additions & 0 deletions
14
iclr_wrap_up/configs/cohort_6/tanh/cohort_6_tanh_architecture_10_7_5.json
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| {"epochs": 8000, | ||
| "batch_size": 256, | ||
| "architecture": [10, 7, 5], | ||
| "learning_rate": 0.0004, | ||
| "calculate_mi_for": "full_dataset", | ||
| "activation_fn": "tanh", | ||
| "model": "models.feedforward", | ||
| "dataset": "datasets.harmonics", | ||
| "estimator": "mi_estimator.upper", | ||
| "discretization_range": 0.001, | ||
| "callbacks": [], | ||
| "optimizer": "adam", | ||
| "n_runs": 5, | ||
| "regularization": false} |
Oops, something went wrong.