In the early days of AI, a common problem was the lack of general intelligence. Models could be built to do things like play checkers, but the knowledge encapsulated in that model was restricted to that domain. This problem is being explored today under the name transfer learning — with the goal of building a model that can be applied to multiple related problem areas.
Join us in a discussion with Shubham Goyal, Data Scientist at Knoldus Inc., and learn what is transfer learning and how to build a custom image classifier that you will train on the fly in the browser using TensorFlow.
Shubham Goyal is a Data Scientist at Knoldus Inc. With this, he is an artificial intelligence researcher, interested in doing research on different domain problems and a regular contributor to society through blogs and webinars in machine learning and artificial intelligence. He had also written a few research papers on machine learning. Moreover, a conference speaker and an official author at Towards Data Science.