Kraków

Archeion, Św. Filipa 23/6, Kraków, Polska, 30-636

Sale szkoleniowe znajdują się przy ul. Św. Filipa 23/6 w Krakowie, zaledwie 3 minuty od dworca PKP, w s...

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Building Deep Learning Models with Apache MXNet

21 godzin
MXNet is a flexible, open-source Deep Learning library that is popular for research prototyping and production. Together with the high-level Gluon API interface, Apache MXNet is a powerful alternative to TensorFlow and PyTorch. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Apache MXNet to build and deploy a deep learning model for image recognition. By the end of this training, participants will be able to:
  • Install and configure Apache MXNet and its components.
  • Understand MXNet's architecture and data structures.
  • Use Apache MXNet's low-level and high-level APIs to efficiently build neural networks.
  • Build a convolutional neural network for image classification.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Opinie uczestników (20)

Dużo ćwiczeń, bardzo dobra współpraca z grupą.

Janusz Chrobot - ING Bank Śląski S.A.
Szkolenie - 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
Szkolenie - 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.
Szkolenie - Introduction to Deep Learning

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
Szkolenie - Introduction Deep Learning & Réseaux de neurones pour l’ingénieur

examples based on our data

Witold - P4 Sp. z o.o.
Szkolenie - Deep Learning for Telecom (with Python)

code examples:-)

Marcin - P4 Sp. z o.o.
Szkolenie - Deep Learning for Telecom (with Python)

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
Szkolenie - 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
Szkolenie - 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
Szkolenie - Introduction to Deep Learning

The deep knowledge of the trainer about the topic.

Sebastian Görg
Szkolenie - Introduction to Deep Learning

I was benefit from the passion to teach and focusing on making thing sensible.

Zaher Sharifi - GOSI
Szkolenie - Advanced Deep Learning

We had an overview about Machine Learning, Neural Networks, AI with practical examples.

Catalin - DB Global Technology SRL
Szkolenie - Machine Learning and Deep Learning

Last day with the AI

Ovidiu - DB Global Technology SRL
Szkolenie - Machine Learning and Deep Learning

The examples that were picked, shared with us and explained

Cristina - DB Global Technology SRL
Szkolenie - Machine Learning and Deep Learning

Coverage and depth of topics

Anirban Basu
Szkolenie - 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
Szkolenie - Machine Learning and Deep Learning

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall
Szkolenie - Python for Advanced Machine 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
Szkolenie - Deep Learning for Telecom (with Python)

The colab notebooks we get to keep

Palmer Greer - Motorola Solutions
Szkolenie - Deep Learning for Telecom (with Python)

The clarity with which it was presented

John McLemore - Motorola Solutions
Szkolenie - Deep Learning for Telecom (with Python)

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