Online or onsite, instructor-led live Apache MXNet training courses demonstrate through interactive hands-on practice how to use Apache MXNet to build and deploy a deep learning model for image recognition.
Apache MXNet 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. Warminsko-mazurskie onsite live Apache MXNet trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Olsztyn
sale szkoleniowe NobleProg, ul. Gietkowska 6a, Olsztyn, poland, 10-170
Training and conference room with full audio-visual equipment. p>
Functional furniture provides the possibility...
Training and conference room with full audio-visual equipment. p>
Functional furniture provides the possibility of setting them in a conference layout, school, workshop & cinema, or cinema, depending on the client's needs. p>
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
examples based on our data
Witold - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)
code examples:-)
Marcin - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)
Świetny kontakt z uczestnikami, wiedza praktyczna co bardzo się ceni. Dostosowanie toku / tempa. Duuuży plus, mega pozytywny instruktor, aż szkoda że szkolenie trwało tylko 2 dni.
Marcin Mikielewicz - TECNOBIT SLU
Course - Introduction Deep Learning & Réseaux de neurones pour l’ingénieur
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.
Jonathan Blease
Course - Artificial Neural Networks, Machine Learning, Deep Thinking
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to Deep Learning
The deep knowledge of the trainer about the topic.
Sebastian Görg
Course - Introduction to Deep Learning
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Course - Advanced Deep Learning
I liked that the instructor had many pre-written scripts to show off many different aspects of ML and AI. I really enjoyed being able to see live demos of so many ways ML and AI is being used. Much of what we covered was cutting edge technology that is still in its early stages of development.
Matthew Pepper - Motorola Solutions
Course - Deep Learning for Telecom (with Python)
The colab notebooks we get to keep
Palmer Greer - Motorola Solutions
Course - Deep Learning for Telecom (with Python)
The clarity with which it was presented
John McLemore - Motorola Solutions
Course - Deep Learning for Telecom (with Python)
We had an overview about Machine Learning, Neural Networks, AI with practical examples.
Catalin - DB Global Technology SRL
Course - Machine Learning and Deep Learning
Last day with the AI
Ovidiu - DB Global Technology SRL
Course - Machine Learning and Deep Learning
The examples that were picked, shared with us and explained
Cristina - DB Global Technology SRL
Course - Machine Learning and Deep Learning
I really enjoyed the coverage and depth of topics.
Anirban Basu
Course - Machine Learning and Deep Learning
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
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
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