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Building an Image Recognition Pipeline the MLOps Way with Gradient
Image recognition is one of the most common use cases for Gradient. Machine learning engineers are using Gradient for medical imaging, image-to-image translation, wildly popular deepfakes, and much more. 

(Did you know that Silicon Valley's Not Hotdog app was built with Paperspace? Pretty cool!)

We decided that it was time to host a webinar focused on image recognition. In this webinar, Senior ML Architect Misha Kutsovsky will cover building an image recognition pipeline from beginning to end. 

By the end of the session, you'll have learned how to build an image recognition pipeline the MLOPs way -- with reproducibility, determinism, and CI/CD. Join us!

Sign up to attend the session Fri July 10, 2020 at 12PM ET.

Jul 10, 2020 12:00 PM in Eastern Time (US and Canada)

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