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efficientnet_b1_ft_imagenet

Image Classification
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mattdangerw commited on
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Files changed (3) hide show
  1. config.json +29 -3
  2. metadata.json +6 -3
  3. task.json +29 -3
config.json CHANGED
@@ -4,8 +4,24 @@
4
  "config": {
5
  "name": "efficient_net_backbone",
6
  "trainable": true,
7
- "width_coefficient": 1.0,
8
- "depth_coefficient": 1.1,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  "dropout": 0,
10
  "depth_divisor": 8,
11
  "min_depth": null,
@@ -87,12 +103,22 @@
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  "v1",
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  "v1"
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  ],
 
 
 
 
 
 
 
 
 
90
  "include_stem_padding": true,
91
  "use_depth_divisor_as_min_depth": true,
92
  "cap_round_filter_decrease": true,
93
  "stem_conv_padding": "valid",
94
  "batch_norm_momentum": 0.9,
95
- "batch_norm_epsilon": 1e-05
 
96
  },
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  "registered_name": "keras_hub>EfficientNetBackbone"
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  }
 
4
  "config": {
5
  "name": "efficient_net_backbone",
6
  "trainable": true,
7
+ "stackwise_width_coefficients": [
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0
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+ ],
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+ "stackwise_depth_coefficients": [
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+ 1.1,
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+ 1.1,
19
+ 1.1,
20
+ 1.1,
21
+ 1.1,
22
+ 1.1,
23
+ 1.1
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+ ],
25
  "dropout": 0,
26
  "depth_divisor": 8,
27
  "min_depth": null,
 
103
  "v1",
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  "v1"
105
  ],
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+ "stackwise_force_input_filters": [
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+ 0,
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+ 0,
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+ 0,
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+ 0,
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+ 0,
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+ 0,
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+ 0
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+ ],
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  "include_stem_padding": true,
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  "use_depth_divisor_as_min_depth": true,
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  "cap_round_filter_decrease": true,
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  "stem_conv_padding": "valid",
119
  "batch_norm_momentum": 0.9,
120
+ "batch_norm_epsilon": 1e-05,
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+ "projection_activation": null
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  },
123
  "registered_name": "keras_hub>EfficientNetBackbone"
124
  }
metadata.json CHANGED
@@ -1,6 +1,9 @@
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  {
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- "keras_version": "3.5.0",
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- "keras_hub_version": "0.16.1",
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  "parameter_count": 6575232,
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- "date_saved": "2024-10-22@16:27:32"
 
 
 
6
  }
 
1
  {
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+ "keras_version": "3.7.0",
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+ "keras_hub_version": "0.19.0",
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  "parameter_count": 6575232,
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+ "date_saved": "2024-12-20@20:11:38",
6
+ "tasks": [
7
+ "ImageClassifier"
8
+ ]
9
  }
task.json CHANGED
@@ -8,8 +8,24 @@
8
  "config": {
9
  "name": "efficient_net_backbone",
10
  "trainable": true,
11
- "width_coefficient": 1.0,
12
- "depth_coefficient": 1.1,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  "dropout": 0,
14
  "depth_divisor": 8,
15
  "min_depth": null,
@@ -91,12 +107,22 @@
91
  "v1",
92
  "v1"
93
  ],
 
 
 
 
 
 
 
 
 
94
  "include_stem_padding": true,
95
  "use_depth_divisor_as_min_depth": true,
96
  "cap_round_filter_decrease": true,
97
  "stem_conv_padding": "valid",
98
  "batch_norm_momentum": 0.9,
99
- "batch_norm_epsilon": 1e-05
 
100
  },
101
  "registered_name": "keras_hub>EfficientNetBackbone"
102
  },
 
8
  "config": {
9
  "name": "efficient_net_backbone",
10
  "trainable": true,
11
+ "stackwise_width_coefficients": [
12
+ 1.0,
13
+ 1.0,
14
+ 1.0,
15
+ 1.0,
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+ 1.0,
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+ 1.0,
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+ 1.0
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+ ],
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+ "stackwise_depth_coefficients": [
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+ 1.1,
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+ 1.1,
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+ 1.1,
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+ 1.1,
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+ 1.1,
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+ 1.1,
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+ 1.1
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+ ],
29
  "dropout": 0,
30
  "depth_divisor": 8,
31
  "min_depth": null,
 
107
  "v1",
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  "v1"
109
  ],
110
+ "stackwise_force_input_filters": [
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+ 0,
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+ 0,
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+ 0,
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+ 0,
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+ 0,
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+ 0,
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+ 0
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+ ],
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  "include_stem_padding": true,
120
  "use_depth_divisor_as_min_depth": true,
121
  "cap_round_filter_decrease": true,
122
  "stem_conv_padding": "valid",
123
  "batch_norm_momentum": 0.9,
124
+ "batch_norm_epsilon": 1e-05,
125
+ "projection_activation": null
126
  },
127
  "registered_name": "keras_hub>EfficientNetBackbone"
128
  },