Mercurial > repos > bgruening > sklearn_mlxtend_association_rules

comparison test-data/keras01.json @ 0:af2624d5ab32 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
author bgruening
date Sat, 01 May 2021 01:24:32 +0000
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children 9349ed2749c6
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-1:000000000000 0:af2624d5ab32
1 {
2 "class_name": "Sequential",
3 "config": {
4 "name": "sequential_1",
5 "layers": [
6 {
7 "class_name": "Dense",
8 "config": {
9 "name": "dense_1",
10 "trainable": true,
11 "batch_input_shape": [
12 null,
13 784
14 ],
15 "dtype": "float32",
16 "units": 32,
17 "activation": "linear",
18 "use_bias": true,
19 "kernel_initializer": {
20 "class_name": "VarianceScaling",
21 "config": {
22 "scale": 1.0,
23 "mode": "fan_avg",
24 "distribution": "uniform",
25 "seed": null
26 }
27 },
28 "bias_initializer": {
29 "class_name": "Zeros",
30 "config": {}
31 },
32 "kernel_regularizer": null,
33 "bias_regularizer": null,
34 "activity_regularizer": null,
35 "kernel_constraint": null,
36 "bias_constraint": null
37 }
38 },
39 {
40 "class_name": "Activation",
41 "config": {
42 "name": "activation_1",
43 "trainable": true,
44 "dtype": "float32",
45 "activation": "relu"
46 }
47 },
48 {
49 "class_name": "Dense",
50 "config": {
51 "name": "dense_2",
52 "trainable": true,
53 "dtype": "float32",
54 "units": 10,
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": "softmax"
84 }
85 }
86 ]
87 },
88 "keras_version": "2.3.1",
89 "backend": "tensorflow"
90 }