annotate test-data/keras02.json @ 39:caa3995d5f23 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5eca9041ce0154eded5aec07195502d5eb3cdd4f
author bgruening
date Fri, 03 Nov 2023 22:39:48 +0000
parents 1fe00785190d
children
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1 {
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1fe00785190d planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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2 "class_name": "Functional",
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3 "config": {
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4 "name": "model",
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5 "layers": [
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6 {
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7 "class_name": "InputLayer",
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8 "config": {
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9 "batch_input_shape": [
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12 ],
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13 "dtype": "int32",
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14 "sparse": false,
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15 "ragged": false,
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16 "name": "main_input"
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17 },
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18 "name": "main_input",
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19 "inbound_nodes": []
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20 },
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21 {
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22 "class_name": "Embedding",
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23 "config": {
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24 "name": "embedding",
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25 "trainable": true,
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26 "batch_input_shape": [
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29 ],
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30 "dtype": "float32",
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31 "input_dim": 10000,
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32 "output_dim": 512,
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33 "embeddings_initializer": {
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34 "class_name": "RandomUniform",
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35 "config": {
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36 "minval": -0.05,
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37 "maxval": 0.05,
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38 "seed": null
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39 }
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40 },
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41 "embeddings_regularizer": null,
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42 "activity_regularizer": null,
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43 "embeddings_constraint": null,
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44 "mask_zero": false,
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45 "input_length": 100
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46 },
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47 "name": "embedding",
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48 "inbound_nodes": [
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49 [
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50 [
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51 "main_input",
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52 0,
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53 0,
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54 {}
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55 ]
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57 ]
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58 },
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59 {
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60 "class_name": "LSTM",
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61 "config": {
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62 "name": "lstm",
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63 "trainable": true,
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64 "dtype": "float32",
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65 "return_sequences": false,
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66 "return_state": false,
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67 "go_backwards": false,
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68 "stateful": false,
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69 "unroll": false,
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70 "time_major": false,
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71 "units": 32,
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72 "activation": "tanh",
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73 "recurrent_activation": "sigmoid",
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74 "use_bias": true,
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75 "kernel_initializer": {
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76 "class_name": "GlorotUniform",
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77 "config": {
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78 "seed": null
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79 },
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80 "shared_object_id": 3
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81 },
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82 "recurrent_initializer": {
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83 "class_name": "Orthogonal",
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84 "config": {
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85 "gain": 1.0,
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86 "seed": null
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87 },
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88 "shared_object_id": 4
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89 },
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90 "bias_initializer": {
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91 "class_name": "Zeros",
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92 "config": {},
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parents: 24
diff changeset
93 "shared_object_id": 5
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bgruening
parents: 20
diff changeset
94 },
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diff changeset
95 "unit_forget_bias": true,
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96 "kernel_regularizer": null,
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diff changeset
97 "recurrent_regularizer": null,
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98 "bias_regularizer": null,
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diff changeset
99 "activity_regularizer": null,
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bgruening
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diff changeset
100 "kernel_constraint": null,
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diff changeset
101 "recurrent_constraint": null,
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diff changeset
102 "bias_constraint": null,
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diff changeset
103 "dropout": 0.0,
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diff changeset
104 "recurrent_dropout": 0.0,
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bgruening
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diff changeset
105 "implementation": 2
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bgruening
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diff changeset
106 },
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1fe00785190d planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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parents: 24
diff changeset
107 "name": "lstm",
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parents: 20
diff changeset
108 "inbound_nodes": [
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bgruening
parents: 20
diff changeset
109 [
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110 [
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diff changeset
111 "embedding",
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112 0,
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113 0,
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114 {}
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115 ]
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116 ]
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117 ]
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118 },
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119 {
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120 "class_name": "Dense",
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121 "config": {
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122 "name": "dense",
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bgruening
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123 "trainable": true,
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bgruening
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diff changeset
124 "dtype": "float32",
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125 "units": 1,
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diff changeset
126 "activation": "sigmoid",
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bgruening
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diff changeset
127 "use_bias": true,
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bgruening
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diff changeset
128 "kernel_initializer": {
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1fe00785190d planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
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129 "class_name": "GlorotUniform",
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130 "config": {
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131 "seed": null
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132 }
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133 },
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134 "bias_initializer": {
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135 "class_name": "Zeros",
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136 "config": {}
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137 },
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138 "kernel_regularizer": null,
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139 "bias_regularizer": null,
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140 "activity_regularizer": null,
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141 "kernel_constraint": null,
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142 "bias_constraint": null
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143 },
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144 "name": "dense",
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145 "inbound_nodes": [
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146 [
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147 [
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148 "lstm",
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151 {}
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152 ]
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153 ]
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154 ]
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155 },
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156 {
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157 "class_name": "InputLayer",
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158 "config": {
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159 "batch_input_shape": [
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160 null,
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161 5
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162 ],
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163 "dtype": "float32",
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164 "sparse": false,
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165 "ragged": false,
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166 "name": "aux_input"
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167 },
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168 "name": "aux_input",
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169 "inbound_nodes": []
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170 },
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171 {
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172 "class_name": "Concatenate",
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173 "config": {
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174 "name": "concatenate",
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175 "trainable": true,
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176 "dtype": "float32",
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177 "axis": -1
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178 },
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179 "name": "concatenate",
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180 "inbound_nodes": [
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182 [
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183 "dense",
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186 {}
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196 },
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197 {
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198 "class_name": "Dense",
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202 "dtype": "float32",
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203 "units": 64,
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204 "activation": "relu",
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205 "use_bias": true,
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206 "kernel_initializer": {
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207 "class_name": "GlorotUniform",
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208 "config": {
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209 "seed": null
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210 }
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211 },
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212 "bias_initializer": {
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213 "class_name": "Zeros",
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214 "config": {}
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215 },
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217 "bias_regularizer": null,
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219 "kernel_constraint": null,
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220 "bias_constraint": null
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221 },
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222 "name": "dense_1",
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223 "inbound_nodes": [
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225 [
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226 "concatenate",
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233 },
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234 {
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235 "class_name": "Dense",
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237 "name": "dense_2",
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238 "trainable": true,
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239 "dtype": "float32",
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240 "units": 64,
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241 "activation": "relu",
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242 "use_bias": true,
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243 "kernel_initializer": {
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244 "class_name": "GlorotUniform",
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245 "config": {
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247 }
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248 },
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249 "bias_initializer": {
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250 "class_name": "Zeros",
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251 "config": {}
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252 },
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258 },
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259 "name": "dense_2",
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260 "inbound_nodes": [
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263 "dense_1",
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270 },
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272 "class_name": "Dense",
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276 "dtype": "float32",
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278 "activation": "relu",
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279 "use_bias": true,
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280 "kernel_initializer": {
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281 "class_name": "GlorotUniform",
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282 "config": {
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283 "seed": null
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284 }
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285 },
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286 "bias_initializer": {
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287 "class_name": "Zeros",
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288 "config": {}
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289 },
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293 "kernel_constraint": null,
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294 "bias_constraint": null
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295 },
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296 "name": "dense_3",
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297 "inbound_nodes": [
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298 [
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300 "dense_2",
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307 },
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308 {
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309 "class_name": "Dense",
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311 "name": "dense_4",
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312 "trainable": true,
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313 "dtype": "float32",
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314 "units": 1,
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315 "activation": "sigmoid",
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316 "use_bias": true,
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317 "kernel_initializer": {
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318 "class_name": "GlorotUniform",
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319 "config": {
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320 "seed": null
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322 },
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323 "bias_initializer": {
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324 "class_name": "Zeros",
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325 "config": {}
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326 },
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328 "bias_regularizer": null,
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330 "kernel_constraint": null,
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332 },
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333 "name": "dense_4",
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334 "inbound_nodes": [
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360 "dense",
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