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. Rhode Island onsite live Horovod trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Learn Horovod in our training center in Rhode Island. The venue is located in the Westminster Square Building between VPFitness and Bay Coat and across the street from Scottrade and Koch Eye Associates.
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Testimonials
★★★★★
★★★★★
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
Course: Introduction to Deep Learning
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
Dolby Poland Sp. z o.o.
Course: Introduction to Deep Learning
Topic. Very interesting!.
Piotr
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 Rhode Island (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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