NH Hotel Bruges, Boeveriestraat 2, Bruges, Belgique, 8000
Bruges devient une plaque tournante portuaire, commerciale et financière centrale dans l'Europe du Moyen Âge, reliant le...
Bruges
Sous-catégories (13)
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Nos Clients témoignent (21)
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
Formation - 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
Formation - Artificial Neural Networks, Machine Learning, Deep Thinking
Very flexible
Frank Ueltzhöffer
Formation - Artificial Neural Networks, Machine Learning and Deep Thinking
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Formation - Introduction to Deep Learning
The deep knowledge of the trainer about the topic.
Sebastian Görg
Formation - Introduction to Deep Learning
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient
Radek
Formation - 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.
Formation - Introduction to Deep Learning
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Formation - Advanced Deep Learning
examples based on our data
Witold - P4 Sp. z o.o.
Formation - Deep Learning for Telecom (with Python)
code examples:-)
Marcin - P4 Sp. z o.o.
Formation - Deep Learning for Telecom (with Python)
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
Formation - Deep Learning for Telecom (with Python)
The colab notebooks we get to keep
Palmer Greer - Motorola Solutions
Formation - Deep Learning for Telecom (with Python)
The clarity with which it was presented
John McLemore - Motorola Solutions
Formation - Deep Learning for Telecom (with Python)
Nous avons eu une vue d'ensemble sur Machine Learning, Neural Networks, l'IA avec des exemples pratiques.
Catalin - DB Global Technology SRL
Formation - Machine Learning and Deep Learning
Traduction automatique
Dernier jour avec l'IA
Ovidiu - DB Global Technology SRL
Formation - Machine Learning and Deep Learning
Traduction automatique
Les exemples qui ont été choisis, partagés avec nous et expliqués
Cristina - DB Global Technology SRL
Formation - Machine Learning and Deep Learning
Traduction automatique
Coverage and depth of topics
Anirban Basu
Formation - 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
Formation - Machine Learning and Deep Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Formation - Python for Advanced Machine Learning
Very updated approach or api (tensorflow, kera, tflearn) to do machine learning
Paul Lee
Formation - TensorFlow for Image Recognition
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Formation - TensorFlow Extended (TFX)
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