How can I Optimize Deep Learning Model such that its cost/size is reduced with little accuracy spike?

Let say I have a trained alexNet model, I want to optimize it to inference i.e, post-training optimization. So far I found "quantization" that is also available in tensorflow. What are other...

24 January 2020 5,361 2 View