Dramatic progress has been made in computer vision: deep neural networks (DNNs) trained on tens of millions of images can now recognize thousands of different object types. These DNNs can also be easily customized to new use cases. Timothy Hazen shares simple methods and tools that enable you to adapt Microsoft's state-of-the-art DNNs for use in your own computer vision solutions.
- Title: Customizing state-of-the-art deep learning models for new computer vision solutions
- Release date: June 2018
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492037286