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:
You will need to bring a laptop with WiFi and Chrome or Firefox browser. All the lab work will be done in the cloud using Jupyter Notebooks, so you won’t need to install any software on your laptop.
About the Instructor:
Doug Perry, a Google Developer Expert in TensorFlow, is an experienced hardware engineer who has worked in the field of artificial intelligence since 2007. Recent examples of some of his projects include an AI-based sports application for golf and baseball swing classification and a consumer application using facial recognition technology to categorize facial features. He also architected a quantized neural network accelerator using FPGAs that showed a 100X speedup relative to GPU based architectures. His most recent project is a TensorFlow model for financial options trading. He the author of numerous books on hardware design and holds several patents related to hardware instrumentation and debugging.
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 TensorFlow training. You’ll learn from 90+ presentations, see 100+ demos and have the opportunity to talk with more than 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