TensorFlow for Computer Vision: Applications and Techniques
The talk will delve into how TensorFlow can be used for Computer Vision tasks like image classification, object detection, and segmentation. The basics of Convolutional Neural Networks (CNN) will also be covered. Additionally, the talk will showcase real-world applications of computer vision in various industries such as healthcare, autonomous driving, etc.
Nitin Tiwari (Google Developer Expert - Machine Learning)
An avid learner of ML who loves to understand how tech works; I have worked with Machine Learning and Computer Vision since 2019 when I first worked as an intern for an AI-based startup during my college days. Since then, my journey in AI/ML began where I have used Machine Learning to solve a variety of environmental, business, and other domain problems. From building a pose classifier application for controlling video games to building a platform for visual data extraction from dashboards for automating data pipelines in businesses, I have had the opportunity to apply my skills to create some exciting things. I love to explore TensorFlow and share my knowledge and new findings through community talks, lectures, blog posts, and projects on GitHub repositories. I also mentor students and aspiring ML enthusiasts to get started with their journey in Machine Learning.