Mercurial > repos > bgruening > ml_visualization_ex
comparison test-data/keras04.json @ 12:6c787aeeac06 draft default tip
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
| author | bgruening |
|---|---|
| date | Mon, 02 Oct 2023 08:27:46 +0000 |
| parents | 1b2f7d4ee4e7 |
| children |
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| 11:840ef9fe2482 | 12:6c787aeeac06 |
|---|---|
| 1 { | 1 { |
| 2 "class_name": "Sequential", | 2 "class_name": "Sequential", |
| 3 "config": { | 3 "config": { |
| 4 "name": "sequential_1", | 4 "name": "sequential", |
| 5 "layers": [ | 5 "layers": [ |
| 6 { | |
| 7 "class_name": "InputLayer", | |
| 8 "config": { | |
| 9 "batch_input_shape": [ | |
| 10 null, | |
| 11 17 | |
| 12 ], | |
| 13 "dtype": "float32", | |
| 14 "sparse": false, | |
| 15 "ragged": false, | |
| 16 "name": "dense_input" | |
| 17 } | |
| 18 }, | |
| 6 { | 19 { |
| 7 "class_name": "Dense", | 20 "class_name": "Dense", |
| 8 "config": { | 21 "config": { |
| 9 "name": "dense_1", | 22 "name": "dense", |
| 10 "trainable": true, | 23 "trainable": true, |
| 11 "batch_input_shape": [ | 24 "batch_input_shape": [ |
| 12 null, | 25 null, |
| 13 17 | 26 17 |
| 14 ], | 27 ], |
| 15 "dtype": "float32", | 28 "dtype": "float32", |
| 16 "units": 32, | 29 "units": 32, |
| 17 "activation": "linear", | 30 "activation": "linear", |
| 18 "use_bias": true, | 31 "use_bias": true, |
| 19 "kernel_initializer": { | 32 "kernel_initializer": { |
| 20 "class_name": "VarianceScaling", | 33 "class_name": "GlorotUniform", |
| 21 "config": { | 34 "config": { |
| 22 "scale": 1.0, | 35 "seed": null |
| 23 "mode": "fan_avg", | 36 } |
| 24 "distribution": "uniform", | 37 }, |
| 38 "bias_initializer": { | |
| 39 "class_name": "Zeros", | |
| 40 "config": {} | |
| 41 }, | |
| 42 "kernel_regularizer": null, | |
| 43 "bias_regularizer": null, | |
| 44 "activity_regularizer": null, | |
| 45 "kernel_constraint": null, | |
| 46 "bias_constraint": null | |
| 47 } | |
| 48 }, | |
| 49 { | |
| 50 "class_name": "Activation", | |
| 51 "config": { | |
| 52 "name": "activation", | |
| 53 "trainable": true, | |
| 54 "dtype": "float32", | |
| 55 "activation": "linear" | |
| 56 } | |
| 57 }, | |
| 58 { | |
| 59 "class_name": "Dense", | |
| 60 "config": { | |
| 61 "name": "dense_1", | |
| 62 "trainable": true, | |
| 63 "dtype": "float32", | |
| 64 "units": 1, | |
| 65 "activation": "linear", | |
| 66 "use_bias": true, | |
| 67 "kernel_initializer": { | |
| 68 "class_name": "GlorotUniform", | |
| 69 "config": { | |
| 25 "seed": null | 70 "seed": null |
| 26 } | 71 } |
| 27 }, | 72 }, |
| 28 "bias_initializer": { | 73 "bias_initializer": { |
| 29 "class_name": "Zeros", | 74 "class_name": "Zeros", |
| 42 "name": "activation_1", | 87 "name": "activation_1", |
| 43 "trainable": true, | 88 "trainable": true, |
| 44 "dtype": "float32", | 89 "dtype": "float32", |
| 45 "activation": "linear" | 90 "activation": "linear" |
| 46 } | 91 } |
| 47 }, | |
| 48 { | |
| 49 "class_name": "Dense", | |
| 50 "config": { | |
| 51 "name": "dense_2", | |
| 52 "trainable": true, | |
| 53 "dtype": "float32", | |
| 54 "units": 1, | |
| 55 "activation": "linear", | |
| 56 "use_bias": true, | |
| 57 "kernel_initializer": { | |
| 58 "class_name": "VarianceScaling", | |
| 59 "config": { | |
| 60 "scale": 1.0, | |
| 61 "mode": "fan_avg", | |
| 62 "distribution": "uniform", | |
| 63 "seed": null | |
| 64 } | |
| 65 }, | |
| 66 "bias_initializer": { | |
| 67 "class_name": "Zeros", | |
| 68 "config": {} | |
| 69 }, | |
| 70 "kernel_regularizer": null, | |
| 71 "bias_regularizer": null, | |
| 72 "activity_regularizer": null, | |
| 73 "kernel_constraint": null, | |
| 74 "bias_constraint": null | |
| 75 } | |
| 76 }, | |
| 77 { | |
| 78 "class_name": "Activation", | |
| 79 "config": { | |
| 80 "name": "activation_2", | |
| 81 "trainable": true, | |
| 82 "dtype": "float32", | |
| 83 "activation": "linear" | |
| 84 } | |
| 85 } | 92 } |
| 86 ] | 93 ] |
| 87 }, | 94 }, |
| 88 "keras_version": "2.3.1", | 95 "keras_version": "2.10.0", |
| 89 "backend": "tensorflow" | 96 "backend": "tensorflow" |
| 90 } | 97 } |
