TensorFlow Object Detection | Realtime Object Detection with TensorFlow | TensorFlow Python |Edureka

🔥 AI & Deep Learning Using TensorFlow (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") - https://www.edureka.co/ai-deep-learning-with-tensorflow This Edureka video will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works. It will also provide you with the details on how to use Tensorflow to detect objects in deep learning method. Below are the topics covered in this tutorial: 1. What is Object Detection? 2. Industrial use of Object Detection 3. Object Detection Workflow 4. What is Tensorflow? 5. Object Detection using Tensorflow - Demo 6. Live Object Detection using Tensorflow- Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-graduate/data-science-program (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then