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On this accelerated Nvidia Fundamentals of Deep Learning course, you’ll learn the basics of deep-learning and the techniques and tools necessary to train a deep-learning model.
In just 2 days, you’ll gain valuable experience with common deep-learning data types and model architectures. You’ll also build knowledge on how to:
At the end of this accelerated course, you'll earn a NIVIDIA DLI certificate highlighting your competency in the elements learned during the course. Firebrand’s Lecture | Lab | Review methodology will allow you to train faster than traditional training in a distraction-free environment, covered by a Certification Guarantee.
This course is ideal for developers looking to gain experience with deep-learning frameworks.
At the end of this accelerated course, you’ll complete a short skills-based coding assessment.
Before attending this accelerated course, you should have an understanding of fundamental programming concepts in Python, like:
Olemme kouluttaneet kymmenen vuoden aikana yli 122.589 opiskelijaa. Heitä kaikkia on pyydetty arvioimaan pikakurssimme. Tällä hetkellä 96,63% on sitä mieltä, että Firebrand on ylittänyt heidän odotuksensa:
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"Intense, clear and lots of fun. Highly recommend."
Anonymous. (26/4/2022 (Tiistai) - 29/4/2022 (Perjantai))
"Intense, clear and lots of fun, highly recommend."
Anonymous. (26/4/2022 (Tiistai) - 29/4/2022 (Perjantai))
"The instructor did a good work in delivering the material. Very helpful and willing to go the extra mile to support the students."
KB. (25/4/2022 (Maanantai) - 30/4/2022 (Lauantai))
"It is was proper challenge, but the instructor provided the content with a flamboyant and upbeat style and despite the sometimes try nature of the material, the instructor was able to keep us all well engaged. Probably the best trainer I have had."
Michael Ross, NHS England. (25/4/2022 (Maanantai) - 30/4/2022 (Lauantai))
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21/2/2022 (Maanantai) |
22/2/2022 (Tiistai) |
Päättynyt - Jätä palautetta |
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27/6/2022 (Maanantai) |
28/6/2022 (Tiistai) |
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8/8/2022 (Maanantai) |
9/8/2022 (Tiistai) |
Rajoitettu määrä paikkoja |
Maanlaajuinen |
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19/9/2022 (Maanantai) |
20/9/2022 (Tiistai) |
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Maanlaajuinen |
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31/10/2022 (Maanantai) |
1/11/2022 (Tiistai) |
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Maanlaajuinen |
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12/12/2022 (Maanantai) |
13/12/2022 (Tiistai) |
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