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Realtime Object Detection: Computer Vision Use Case (Technical Webinar)

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This webinar series explores how to create a realtime system for object detection in images and videos using TensorFlow

About this Event

This webinar series is for those who want to get a technical understanding of how to develop realtime system for object detection. The learning objectives are:

1. Basic concepts of object detection

2. Various object detection algorithms

3. Train a deep learning based state-of-the-art object detection model

4. Write code to detect objects in videos from camera and Youtube.

Speaker Bio:

LinkedIn: https://www.linkedin.com/in/ansarishamshad/

Shamshad (Sam) Ansari is President and CEO of Accure, an AI automation company.

Sam has technical expertise in the area of AI, big data, cognitive science, deep learning, computer vision and machine learning. He spearheads the development of Accure’s AI platform, Momentum, and analytics applications.

Sam has written a book “Building Computer Vision Applications using Artificial Neural Networks”.

He also has four US patents related to AI and cognitive computing.

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