Głogów Małopolski

NobleProg, Strefowa 1, Głogów Małopolski, Polska, 36-060

Sala szkoleniowa znajduje się jedynie 10 km na południowy zachód od Rzeszowa, bezpośrednio przy trasie...

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Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

21 godzin
Stable Diffusion is a powerful deep learning model that can generate detailed images based on text descriptions.  This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level data scientists, machine learning engineers, deep learning researchers, and computer vision experts who wish to expand their knowledge and skills in deep learning for text-to-image generation. By the end of this training, participants will be able to:
  • Understand advanced deep learning architectures and techniques for text-to-image generation.
  • Implement complex models and optimizations for high-quality image synthesis.
  • Optimize performance and scalability for large datasets and complex models.
  • Tune hyperparameters for better model performance and generalization.
  • Integrate Stable Diffusion with other deep learning frameworks and tools.
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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Introduction to Stable Diffusion for Text-to-Image Generation

21 godzin
Stable Diffusion is a powerful deep learning model that can generate detailed images based on text descriptions.  This instructor-led, live training (online or onsite) is aimed at data scientists, machine learning engineers, and computer vision researchers who wish to leverage Stable Diffusion to generate high-quality images for a variety of use cases. By the end of this training, participants will be able to:
  • Understand the principles of Stable Diffusion and how it works for image generation.
  • Build and train Stable Diffusion models for image generation tasks.
  • Apply Stable Diffusion to various image generation scenarios, such as inpainting, outpainting, and image-to-image translation.
  • Optimize the performance and stability of Stable Diffusion models.
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
Więcej...

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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

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)

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

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

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)

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

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Stable Diffusion Konsultacje
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