Online or onsite, instructor-led live Horovod training courses demonstrate through interactive hands-on practice how to use Horovod to run distributed deep learning trainings and scale it up to run across multiple GPUs in parallel.
Horovod training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Horovod trainings in Iowa can be carried out locally on customer premises or in NobleProg corporate training centers.
Learn Horovod in our training center in Iowa. The venue is located next to the First National Bank Park & Ride bus stop in the same building as Midwest Retirement Advisors and Principal Financial Group. Read more
Learn Horovod in our training center in Iowa. The venue is located in the neighboorhood of the Community Choice Credit Union and Iowa Orthodontic Solutions, just in front of the Green Meadows West Gazebo. Read more
Testimonials
★★★★★
★★★★★
The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.
Jean-Paul van Tillo
Course: Machine Learning and Deep Learning
I really enjoyed the coverage and depth of topics.
Anirban Basu
Course: Machine Learning and Deep Learning
The deep knowledge of the trainer about the topic.
Sebastian Görg
Course: Introduction to Deep Learning
like it all
lisa xie
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
Machine Translated
Possibility to discuss the proposed issues yourself
ORANGE POLSKA S.A.
Course: Machine Learning and Deep Learning
Machine Translated
Communication with lecturers
文欣 张
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
This instructor-led, live training in Iowa (online or onsite) is aimed at developers or data scientists who wish to use Horovod to run distributed deep learning trainings and scale it up to run across multiple GPUs in parallel.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start running deep learning trainings. - Install and configure Horovod to train models with TensorFlow, Keras, PyTorch, and Apache MXNet. - Scale deep learning training with Horovod to run on multiple GPUs.
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