Can a pretrained Deep learning model of objects (chair, table) be used to do transfer learning and classify telecom equipment?

Question

I want to classify telecom devices: switches, routers, etc. I know that there are pre-trained model available online: https://github.com/tensorflow/models

• Will it be possible to use transfer learning using those? Or do I have to use a pre-trained model of telecom devices?
• Which one will you recommend me?

Answer 1

1) Not necessarily, it will be helpful but we don't always use pre-trained weight to get better accuracy but a faster convergence time. So, definitely, it's always better to use a pre-trained weight if possible as the filters learnt by the model are somewhat useful feature extractors useful.

2) If you can find a pre-trained weight for telecom devices, there's no point to hesitate. That would give a faster convergence time + may boost the accuracy slightly.