Mercurial > repos > bgruening > scipy_sparse

comparison test-data/keras04.json @ 40:5af054432771 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author bgruening
date Wed, 09 Aug 2023 13:16:32 +0000
parents a2da4cebc584
children
comparison
equal deleted inserted replaced
39:4efac966af2a 40:5af054432771
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 }