Fundamentals in Deep Learning

A free workshop offered by CLAIRE Office Switzerland and NVIDIA DLI

FUNDAMENTALS IN DEEP LEARNING - you have some basic programming skills and are interested to dive deeper? Then join us!

The workshop is limited to Swiss CLAIRE supporters from academic institutions.If you are not yet one of our Swiss network supporters sign up <a href="https://claire-ai.org/#take-action" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a>. This workshop is offered by <a href="https://claire-ai.org/office-zurich/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">CLAIRE Office Switzerland </a>and <a href="https://www.nvidia.com/en-us/training/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">NVIDIA Deep Learning Institute</a>.

Artificial intelligence (AI) is bringing significant advances in sectors like healthcare, robotics, and autonomous driving. Deep learning is a powerful method that has been instrumental in the recent success of AI. The CLAIRE office Switzerland is glad to provide its supporters, free of charge, an 7-hour workshop in two days to learn the basics of deep learning. The workshop is offered through a collaboration between CLAIRE and the NVIDIA Deep Learning Institution (DLI). Attendants will receive theoretical instruction and be able to do hands-on exercises on GPU-accelerated computing power in the cloud provided by the organizers. Upon successful completion of the course, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth. Development of talent and knowledge transfer is one of the key elements of the CLAIRE vision. Through this collaboration we contribute to empowering society to benefit of the potential of Artificial Intelligence. Workshop Audience People with basic programming skills (Python)from academic institutions interested in artificial intelligence and deep learning methods. The course is limited to CLAIRE supporters from Switzerland. If you are not yet one of our supporters, feel free to <a href="https://claire-ai.org/share-and-sign/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">sign up here</a>.In order to be eligible please let us know where you are coming from and fill out <a href="https://forms.gle/6kZJL4SDCCmCgbsi9" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">this form</a> for us. Thank you! DetailsWHEN / WHERE Thursday, 05.05. 14:00 – 17:00 pm CEST / online*Friday, 06.05. 14:00–18:00pm CEST / online*<ul><li>Duration: 7 hours </li></ul><ul><li>Price: Free for CLAIRE supporters </li></ul><ul><li>Prerequisites: An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays. </li></ul><ul><li>Suggested materials to satisfy prerequisites: Codecademy Python course. </li></ul><ul><li>Tools, libraries, and frameworks: Tensorflow, Keras, Pandas, NumPy </li></ul><ul><li>Assessment type: Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy. </li></ul><ul><li>Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth. </li></ul><ul><li>Hardware requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud. </li></ul><ul><li>Language: English </li></ul>*a Zoom link will be sent to the participants a few days before the workshop. Learning Objectives In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly. By participating in this workshop, you’ll: <ul><li>Learn the fundamental techniques and tools required to train a deep learning model </li><li>Gain experience with common deep learning data types and model architectures </li><li>Enhance datasets through data augmentation to improve model accuracy </li><li>Leverage transfer learning between models to achieve efficient results with less data and computation</li><li>Build confidence to take on your own project with a modern deep learning framework </li></ul>Disclaimer The workshop is developed and provided by NVIDIA Deep Learning Institution. NVIDIA corporation the sole responsible for their content.

About CLAIRE SwitzerlandOur Swiss CLAIRE office was initially founded in 2020. Given the strength of its academic and industrial ecosystem, its economic landscape and tradition on the protection of human rights, Switzerland plays an essential role in the advancement of human-centred AI.We are focusing on empowering the Swiss AI community by connecting European partners and fostering the development of ethical humane, trustworthy AI-powered solutions that are compatible with the social and economic interests of all humans.For this purpose, the CLAIRE office Switzerland is establishing an active network comprising academia, industry, public entities and international organizations. We actively engage with media and general public through outreach and participatory activities that inform society at large about the state-of-the-art in AI and provide spaces to discuss the effects of these technologies. CLAIRE Switzerland is currently supported and hosted by ZHAW digital , Zurich University of Applied Sciences Winterthur.You can learn more about CLAIRE’s vision about human-centered artificial intelligence for Europe <a href="https://www.youtube.com/watch?v=t4mjHX3A4Qg" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here.</a> And please do not forget to have a look at our vision &amp; mission video below!

Fundamentals in Deep Learning

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Fundamentals in Deep Learning

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