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On this accelerated Nvidia Fundamentals of Deep Learning for Multi-GPUs course, you’ll learn the techniques for training deep neural networks on multi-GPU technology to shorten the training time required for data-intensive applications.
In just 2 days, you’ll work with deep learning tools, frameworks, and workflows to perform neural network training, and learn concepts for implementing Horovod multi-GPUs to reduce the complexity of writing efficient distributed software and to maintain accuracy when training a model across many GPUs. You’ll also build knowledge on:
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.
At the end of your accelerated course, you’ll receive the following certificate:
Before attending this accelerated course, you should have experience with gradient descent model training.
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:
"Knowledgeable instructor with lots of experience, using real world examples to make it relatable and focused."
Caroline Yardley. (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))
"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) |
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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 |
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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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