Date: Monday, May 18, 2020 from 9:00 am to 5:00 pm
Location: The Embedded Vision Summit, Santa Clara, California
Fee: $995 in advance, $1095 day-of
Are you an engineer who wants to design intelligent computer vision systems that learn from complex or large-scale datasets? Would you like to build your visual AI development skills?
Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, today’s most popular framework for deep learning.
The class covers deep learning for computer vision applications using TensorFlow 2.0. We assume that:
To make sure you’re up to speed on Python, please review sections 1-5 of this online Python tutorial before class: https://docs.python.org/3/tutorial/.
The class runs 9 am to 5 pm with lunch and breaks. The class is a combination of lecture and lab exercises using Jupyter Notebooks. We cover the following topics:
When you sign up for this training, remember to also sign up for the Embedded Vision Summit. The Summit gives you access to two additional days of learning after your OpenCV training. You’ll learn from 90+ presentations, see 100+ demos and have the opportunity to talk with over 1,400 fellow innovators building or enabling vision in their products.
Doing something cool in practical computer vision and visual AI? Tell the world! The 2020 Embedded Vision Summit call for Presentation Proposals is now open: https://embeddedvisionsummit.com/call-proposals/
Looking forward to Bing Yu of @MediaTek speaking on MediaTek’s Approach for Edge Intelligence! #evs19 #computervision #machinelearning https://www.embedded-vision.com/summit/mediatek%E2%80%99s-approach-edge-intelligence