Training from scratch
September 27, 2017 ยท View on GitHub
Edit config.yml as below.
finetune:
models:
- scratch-alexnet
You can also run fine-tuning and training from scratch together.
finetune:
models:
- imagenet1k-inception-v3
- scratch-inception-v3
Available models traininig from scratch
| from scratch model name |
|---|
| scratch-alexnet |
| scratch-googlenet |
| scratch-inception-bn |
| scratch-inception-resnet-v2 |
| scratch-inception-v3 |
| scratch-inception-v4 |
| scratch-lenet |
| scratch-mlp |
| scratch-mobilenet |
| scratch-resnet-N |
| scratch-resnext-N |
| scratch-vgg-N |
Specify the number of layers for N in scratch-resnet, scratch-resnext and scratch-vgg.
For scratch-resnet and scrach-resnext, N can be set to 18, 34, 50, 101, 152, 200 and 269, and for scratch-vgg, N can be set to 11, 13, 16 and 19.