Formation Deep Learning en Strasbourg

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)