Mercurial > repos > bgruening > sklearn_regression_metrics
comparison test-data/keras05.json @ 34:642452aeed0d draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 13:51:11 +0000 |
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33:5c9fb40ae174 | 34:642452aeed0d |
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1 { | |
2 "class_name": "Sequential", | |
3 "config": { | |
4 "name": "sequential", | |
5 "layers": [ | |
6 { | |
7 "class_name": "InputLayer", | |
8 "config": { | |
9 "batch_input_shape": [ | |
10 null, | |
11 32, | |
12 32, | |
13 3 | |
14 ], | |
15 "dtype": "float32", | |
16 "sparse": false, | |
17 "ragged": false, | |
18 "name": "conv2d_input" | |
19 } | |
20 }, | |
21 { | |
22 "class_name": "Conv2D", | |
23 "config": { | |
24 "name": "conv2d", | |
25 "trainable": true, | |
26 "batch_input_shape": [ | |
27 null, | |
28 32, | |
29 32, | |
30 3 | |
31 ], | |
32 "dtype": "float32", | |
33 "filters": 32, | |
34 "kernel_size": [ | |
35 3, | |
36 3 | |
37 ], | |
38 "strides": [ | |
39 1, | |
40 1 | |
41 ], | |
42 "padding": "same", | |
43 "data_format": "channels_last", | |
44 "dilation_rate": [ | |
45 1, | |
46 1 | |
47 ], | |
48 "groups": 1, | |
49 "activation": "relu", | |
50 "use_bias": true, | |
51 "kernel_initializer": { | |
52 "class_name": "GlorotUniform", | |
53 "config": { | |
54 "seed": null | |
55 } | |
56 }, | |
57 "bias_initializer": { | |
58 "class_name": "Zeros", | |
59 "config": {} | |
60 }, | |
61 "kernel_regularizer": null, | |
62 "bias_regularizer": null, | |
63 "activity_regularizer": null, | |
64 "kernel_constraint": null, | |
65 "bias_constraint": null | |
66 } | |
67 }, | |
68 { | |
69 "class_name": "MaxPooling2D", | |
70 "config": { | |
71 "name": "max_pooling2d", | |
72 "trainable": true, | |
73 "dtype": "float32", | |
74 "pool_size": [ | |
75 2, | |
76 2 | |
77 ], | |
78 "padding": "valid", | |
79 "strides": [ | |
80 2, | |
81 2 | |
82 ], | |
83 "data_format": "channels_last" | |
84 } | |
85 }, | |
86 { | |
87 "class_name": "Dropout", | |
88 "config": { | |
89 "name": "dropout", | |
90 "trainable": true, | |
91 "dtype": "float32", | |
92 "rate": 0.25, | |
93 "noise_shape": null, | |
94 "seed": null | |
95 } | |
96 }, | |
97 { | |
98 "class_name": "Conv2D", | |
99 "config": { | |
100 "name": "conv2d_1", | |
101 "trainable": true, | |
102 "dtype": "float32", | |
103 "filters": 64, | |
104 "kernel_size": [ | |
105 3, | |
106 3 | |
107 ], | |
108 "strides": [ | |
109 1, | |
110 1 | |
111 ], | |
112 "padding": "same", | |
113 "data_format": "channels_last", | |
114 "dilation_rate": [ | |
115 1, | |
116 1 | |
117 ], | |
118 "groups": 1, | |
119 "activation": "relu", | |
120 "use_bias": true, | |
121 "kernel_initializer": { | |
122 "class_name": "GlorotUniform", | |
123 "config": { | |
124 "seed": null | |
125 } | |
126 }, | |
127 "bias_initializer": { | |
128 "class_name": "Zeros", | |
129 "config": {} | |
130 }, | |
131 "kernel_regularizer": null, | |
132 "bias_regularizer": null, | |
133 "activity_regularizer": null, | |
134 "kernel_constraint": null, | |
135 "bias_constraint": null | |
136 } | |
137 }, | |
138 { | |
139 "class_name": "MaxPooling2D", | |
140 "config": { | |
141 "name": "max_pooling2d_1", | |
142 "trainable": true, | |
143 "dtype": "float32", | |
144 "pool_size": [ | |
145 2, | |
146 2 | |
147 ], | |
148 "padding": "valid", | |
149 "strides": [ | |
150 2, | |
151 2 | |
152 ], | |
153 "data_format": "channels_last" | |
154 } | |
155 }, | |
156 { | |
157 "class_name": "Dropout", | |
158 "config": { | |
159 "name": "dropout_1", | |
160 "trainable": true, | |
161 "dtype": "float32", | |
162 "rate": 0.25, | |
163 "noise_shape": null, | |
164 "seed": null | |
165 } | |
166 }, | |
167 { | |
168 "class_name": "Flatten", | |
169 "config": { | |
170 "name": "flatten", | |
171 "trainable": true, | |
172 "dtype": "float32", | |
173 "data_format": "channels_last" | |
174 } | |
175 }, | |
176 { | |
177 "class_name": "Dense", | |
178 "config": { | |
179 "name": "dense", | |
180 "trainable": true, | |
181 "dtype": "float32", | |
182 "units": 512, | |
183 "activation": "relu", | |
184 "use_bias": true, | |
185 "kernel_initializer": { | |
186 "class_name": "GlorotUniform", | |
187 "config": { | |
188 "seed": null | |
189 } | |
190 }, | |
191 "bias_initializer": { | |
192 "class_name": "Zeros", | |
193 "config": {} | |
194 }, | |
195 "kernel_regularizer": null, | |
196 "bias_regularizer": null, | |
197 "activity_regularizer": null, | |
198 "kernel_constraint": null, | |
199 "bias_constraint": null | |
200 } | |
201 }, | |
202 { | |
203 "class_name": "Dropout", | |
204 "config": { | |
205 "name": "dropout_2", | |
206 "trainable": true, | |
207 "dtype": "float32", | |
208 "rate": 0.5, | |
209 "noise_shape": null, | |
210 "seed": null | |
211 } | |
212 }, | |
213 { | |
214 "class_name": "Dense", | |
215 "config": { | |
216 "name": "dense_1", | |
217 "trainable": true, | |
218 "dtype": "float32", | |
219 "units": 10, | |
220 "activation": "softmax", | |
221 "use_bias": true, | |
222 "kernel_initializer": { | |
223 "class_name": "GlorotUniform", | |
224 "config": { | |
225 "seed": null | |
226 } | |
227 }, | |
228 "bias_initializer": { | |
229 "class_name": "Zeros", | |
230 "config": {} | |
231 }, | |
232 "kernel_regularizer": null, | |
233 "bias_regularizer": null, | |
234 "activity_regularizer": null, | |
235 "kernel_constraint": null, | |
236 "bias_constraint": null | |
237 } | |
238 } | |
239 ] | |
240 }, | |
241 "keras_version": "2.10.0", | |
242 "backend": "tensorflow" | |
243 } |