Training without a pre-trained model

[J-H-Hwang]

I'd like to know how to train a model without a pre-trained model. Before executing feats for clustering, I have to get a trained model, but I don't know how to get it. I tried to use a train_image_classifier with avg-conv pooling layer, two-layer classifier instead of a netvllad layer and linear classifier. I want to know how to set hyper-parameters such as learning rate and steps etc..

Thanks!