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Alexnet improves Car Accuracy
Lukas Biewald
Created on January 6
|
Last edited on January 6
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Section 1
Parameter importance with respect to
car_acc
Parameters
1-10
of 18
Config parameter
Importance
Correlation
encoder.value_alexnet
encoder.value_alexnet
num_train
num_train
num_valid
num_valid
learning_rate
learning_rate
weight_decay
weight_decay
batch_size
batch_size
training_stages
training_stages
bn_weight_decay
bn_weight_decay
epochs
epochs
model_type.value_NAN
model_type.value_NAN
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iou
iou
Showing first 10 runs
0
5
10
15
Step
0.4
0.5
0.6
0.7
human_acc, iou, car_acc
human_acc, iou, car_acc
2
4
6
8
10
Time (minutes)
0
0.2
0.4
0.6
0.8
road_acc, car_acc
road_acc, car_acc
0
5
10
15
Step
0.2
0.4
0.6
0.8
Run set
221
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