Oleg Cherniy
21 Sep 2019
Big Data and Data Analytics

How to optimize models and hardware for fast inference in highload project

After training of the model, you need to put it into production. In this talk we will discuss steps required to optimize model in order to deploy it into production. We will look at advantages and disadvantages of serving models in a private cloud, AWS / Google Cloud or your own GPU servers. Also we will talk about optimization of OS, software and hardware taking as an example development of Nomeroff Net, vehicle number plate recognition system at

Prerequisites for attendees: understanding of convolutional neural network internals.