Computer Vision
NLP
Deep Learning
Machine Learning
AutoML
MLOps
| 8:00am | Check In | |||
| 9:00am~12pm | Keynotes
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| 12:00pm | Lunch break and networking | |||
1:00pm - 5:00pm | ||||
tech talks in 5 parallel tracks
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5:30pm - 8:00pm: Evening Session | ||||
| Dinner Reception | Speakers, Invited Guests, and ConferencePlus ticket/Workshop ticket holders only. | |||
| Community Event | A Night with AI | |||
| 8:00am | Check In | |||
| 9:00am~12pm | Keynotes
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| 12:00pm | Lunch break and networking | |||
1:00pm - 5:00pm | ||||
| Track 1 | tech talks in 3 parallel tracks
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9am - 12pm | |
| Track 1 | Serverless Machine Learning with TensorFlow 2.0 (1)
by Google Team
*7 modules with lectures, live demo, and hands-on code labs.
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| 12pm-1pm | lunch break |
1pm - 4pm | |
| Track 1 | Serverless Machine Learning with TensorFlow 2.0 (2)
by Google Team
*7 modules with lectures, live demo, and hands-on code labs.
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9am - 12pm | |
| Track 1 | tbd
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| 12pm-1:00pm | lunch break and networking |
1:00pm - 4:00pm | |
| Track 1 | tbd
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9am - 4pm | |
| Track 1 | Deep Learning for Computer Vision
by Andrew Ferlitsch, Google
*This 2-day immersive instructor-led training will teach everything you need to know to become a software engineer in deep learning and computer vision. Training Syllabus
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50+ tech lead speakers from Engineering Teams at Microsoft, Google, Amazon, Facebook, Uber, Linkedin, Pinterest, Nvidia, Twitter, and more.
60+ deep dive tech topics and practicial experiences in machine learning, deep learning, computer vision, speech reconginition, NLP, data science and analytics. specially geared to tech engineers who want to grasp AI tech applied to their daily project.
Connect with 500+ tech engineers, developers, data scientists; learn from peers, small-group discussions, office-hour, and lunch with speakers, happy hours.
Continue to learn and practice AI post conference, join our free online AI learning group with 400+ tech speakers, 85,000+ tech engineers. Learn more.
The speakers and sponsors teams are hiring tech engineers, developers, data scientitst, machine learning engineers and algorithm engineers. Come to talk and connect to the hiring manager and tech lead of the teams.
