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| 008 |
210823 ||| eng |
| 100 |
1 |
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|a Deza, Alfredo
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| 245 |
0 |
0 |
|a Google VS Apple AutoML Computer Vision
|c Deza, Alfredo
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| 250 |
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|a 1st edition
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| 260 |
|
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|a [Erscheinungsort nicht ermittelbar], Boston, MA
|b Pragmatic AI Solutions, Safari
|c 2021
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| 300 |
|
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|a 1 video file, circa 1 hr., 18 min.
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| 653 |
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|a Electronic videos ; local
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| 700 |
1 |
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|a Gift, Noah
|e VerfasserIn
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b OREILLY
|a O'Reilly
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| 500 |
|
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|a Online resource; Title from title screen (viewed May 15, 2021)
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/61547VIDEOPAIML/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 000
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| 520 |
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|a Learn to use Google AutoML to build a computer vision prediction model via their Qwiklabs website. Later, compare Apple's CreateML with the same data set and build an AutoML prediction model that deploy to the edge. Topics include: * Google AutoML * Apple CreateML * Apple CoreML * Computer Vision * Cloud Computing * Single label image classification * Using AutoML as a prototyping Tool * Edge Computer Vision Models
|