Change learning parameters
@@ -42,11 +42,12 @@ choose dataset format OpenImagesV4
training dataset path: {dataset_dir}
set validataion dataset? (if answer no, the dataset will be separated for training and validation by 9:1 ratio.) no
batch size (integer): 16
-image size (integer x integer): 128x128
+image size (integer x integer): 160x160
how many epochs do you run training (integer): 100
-initial learning rate: 0.001
-choose learning rate setting(tune1 / tune2 / tune3 / fixed): tune1 -> "2 times decay": tune1
-apply quantization at the first layer? yes
+initial learning rate: 0.1
+choose learning rate schedule ({epochs} is the number of training epochs you entered before): '3-step-decay' -> learning rate decrease by 1/10 on {epochs}/3 and {epochs}*2/3 and {epochs}-1
+enable data augmentation? No
+apply quantization at the first layer? no
```
## Train a network model
