Fundamentals of Deep Learning for Computer Vision (NVIDIA Ambassador Event)

We would like to collaborate with you to help improve your research software in a range of areas. Supporting the entire University, we have collaborators in every faculty and have supported researchers in a range of subject areas including engineering, mathematics, computer science, biology, linguistics, physics, chemistry and geography.Many of the things we do arefree to you!. Email us atrse@sheffield.ac.ukto see how we can help.

Research Software Engineering Sheffield

<P>The <A HREF="https://www.nvidia.com/en-us/deep-learning-ai/education/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer"><SPAN>NVIDIA Deep Learning Institute</SPAN></A> (DLI) and <A HREF="http://rse.shef.ac.uk/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Research Software Engineering Sheffield</A> (RSES) are excited to deliver a hands-on deep learning workshop, exclusively for verifiable academic students, staff, and researchers. The workshop will be held in Computer Room 4 (Room 2.06) on the 2nd floor of the Diamond building.</P>
<P><SPAN>In this full-day introductory workshop, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how to:</SPAN></P>
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<LI>
<P><SPAN>Implement common deep learning workflows, such as image classification and object detection.</SPAN></P>
</LI>
<LI>
<P><SPAN>Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.</SPAN></P>
</LI>
<LI>
<P><SPAN>Deploy your neural networks to start solving real-world problems.</SPAN></P>
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</UL>
<P><SPAN>Upon completion, you’ll be able to start solving problems on your own with deep learning.</SPAN></P>
<H3><STRONG>Content level</STRONG>: Beginner</H3>
<H3><STRONG>Pre-Requisites</STRONG>: Technical background and basic understanding of deep learning. Basic knowledge of Python is useful but not necessary.</H3>
<H3>Platform: Nvidia DIGITS (Web GUI), Caffe</H3>

Computer Room 4 (Room 2.06), 2nd Floor

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Fundamentals of Deep Learning for Computer Vision (NVIDIA Ambassador Event)

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Fundamentals of Deep Learning for Computer Vision (NVIDIA Ambassador Event)

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