Deep Learning for Computer Vision with TensorFlow: Hands-on Training Class

The Embedded Vision Alliance is a partnership of companies developing and using computer vision technology.  The Alliance facilitates and accelerates the use of computer vision and visual AI in all types of practical systems and applications.For system and application developers, the Alliance provides high-quality, practical educational resources, including the renowned Embedded Vision Summit conference, and a variety of free resources atwww.Embedded-Vision.com.For companies that supply enabling technologies (such as sensors, algorithms, processors and tools), the Alliance provides opportunities to connect with new customers and partners, and to gain early insights into key trends in vision technology, markets, standards and applications.

Embedded Vision Alliance

TensorFlow, the open-source framework for deep learning created by Google, has experienced explosive growth in popularity. Its powerful syntax allows for distributed computation, improved efficiency, and modularization, enabling developers to turn high-level designs into the low-level mathematical operations required for machine learning algorithms.
In this full-day course, you will learn how to use TensorFlow for deep learning computer vision applications, both on embedded systems and in the cloud:
Morning:
<UL>
<LI>Introduction to TensorFlowNeural Networks in TensorFlow
<UL>
<LI>What It Is, What It’s Used For</LI>
<LI>Graphs and Tensors</LI>
<LI>Basics of Building Graphs in TensorFlow</LI>
</UL>
</LI>
<LI>TensorBoard Visualization Tool</LI>
<LI>Exercises including Fibonacci Sequence, Linear Regression and Recognition of Hand-Written Digits (MNIST Database)</LI>
</UL>
Afternoon:
<UL>
<LI>Object Recognition in TensorFlowOpen Source CNN Models
<UL>
<LI>Quick Refresher on Convolutional Neural Networks (CNNs)</LI>
<LI>Exploration of CNN model for MNIST demo</LI>
<LI>Training Data and Issues</LI>
</UL>
</LI>
<LI>Writing your own CNN model: TF-Slim and Keras</LI>
<LI>Exercises including  CNN Model for MNIST, Transfer Learning for Object Recognition, Object recognition from video</LI>
</UL>
Registration Terms and Conditions:
<OL>
<LI>Deep Learning for Computer Vision with TensorFlow: A Hands-on Training Class (the “Class”) is organized by the Embedded Vision Alliance (the “Alliance”), an industry association of companies that provide technology and services for computer vision applications and systems, organized and managed by Berkeley Design Technology, Inc. Registrants for the Tutorial explicitly agree that registration for the Tutorial is governed by the Registration Terms and Conditions.</LI>
<LI>By registering for the Class, you recognize and accept that:</LI>
<OL>
<LI>Your contact information (i) may be used by the Alliance to inform and update you with information about activities of the Alliance and its Members and (ii) may be shared with Members of the Embedded Vision Alliance for their use in contacting you regarding their products and services; and</LI>
<LI>During the Class, you may be photographed and/or videorecorded; the Alliance may use, reproduce, distribute, and broadcast your image, including your name, voice, likeness, and affiliation captured in such recordings as well as your name for promoting, publicizing, or explaining the Alliance and/or the Class.</LI>
</OL>
<LI>Registration fees are non-refundable after June 1, 2017.</LI>
</OL>

Hyatt Regency Santa Clara

Online Registration has ended. You may attend the hands-on training class, "Deep Learning for Computer Vision with TensorFlow," on a space-available basis. To see if space is available, please contact walters@embedded-vision.com.

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Registrations are closed

Deep Learning for Computer Vision with TensorFlow: Hands-on Training Class

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Deep Learning for Computer Vision with TensorFlow: Hands-on Training Class

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