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CMDBID: 111108 | Course Code: | Duration: 1 Days
Overview >

This workshop teaches deep learning techniques for a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU-accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to: building and deploying deep learning applications for image classification and object detection, modifying your neural networks to improve their accuracy and performance, and implementing the workflow you have learned on a final project.

At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.

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Course Dates

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Location
Start Date
Price
LVC, Germany
9th Nov 2020
€800
LVC, France
9th Nov 2020
€800
New York, United States
9th Nov 2020
$900
San Francisco, United States
9th Nov 2020
$900
LVC, United States
9th Nov 2020
$900
LVC, United States
9th Nov 2020
$900
LVC, United States
9th Nov 2020
$900
LVC, United Kingdom
9th Nov 2020
£1145
LVC, Spain
9th Nov 2020
€800
LVC, Italy
9th Nov 2020
€800
Paris, France
9th Nov 2020
€800
Milan, Italy
9th Nov 2020
€800
Chicago, United States
9th Nov 2020
$900
Berlin, Germany
9th Nov 2020
€800
Madrid, Spain
9th Nov 2020
€800
ONSITE, United States
Onsite
£1145

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes