Webcast: Deploying deep learning technology in machine vision

In a free webcast on May 16, Tom Brennan, President, Artemis Vision, will discuss the use of artificial intelligence, machine learning, and deep learning technologies in vision. He will touch on how these technologies work, what they can do, what types of applications they can be deployed in, and how they could improve processes across various industries.

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Deep learning is an area of machine learning that enables computers to be trained and learn. Deep learning—which can be accomplished through architectures such as artificial neural networks—imitates the way the human brain works by processing data and creating patterns for use in decision making.

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While this has been as big a buzzword in the market as any over the past few years, how exactly can it be used in vision, and how will it impact the market going forward? In a free webcast on May 16, Tom Brennan, President, Artemis Vision, will discuss the use of artificial intelligence, machine learning, and deep learning technologies in vision. He will touch on how these technologies work, what they can do, what types of applications they can be deployed in, and how they could improve processes across various industries.

Additionally, he will discuss the components and products necessary to deploy deep learning and machine learning technologies, along with some of the products and services available to do so. The webcast, sponsored by FLIR Systems, will conclude with a Q&A period.

Webcast information:

How to deploy deep learning technology in vision applications
Tom Brennan, President, Artemis Vision
May 16, 2018 11:00 AM EDT

Register here >>>

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>>> View our other machine vision and imaging webcasts for 2018.

Pictured: Screenshot showing results from an inspection using Cognex ViDi Suite software where all key components were found.

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