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| + | ====== Hands-on AI Tools and Techniques Workshop Series ~ Introduction to Deep Learning ====== | ||
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| + | <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{: | ||
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| + | * Tuesday October 10, 2023 | ||
| + | * 9am - 12pm | ||
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| + | <WRAP quarter column> <WRAP center round box 110%> {{: | ||
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| + | * Level 0 Auditorium, BW B4 and B5 | ||
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| + | <wrap indent></ | ||
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| + | </ | ||
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| + | <WRAP quarter column> | ||
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| + | <WRAP center round box 110%> {{: | ||
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| + | {{: | ||
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| + | <WRAP quarter column> <WRAP center round box 100%> | ||
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| + | <wrap em button> [[https:// | ||
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| + | </ | ||
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| + | <WRAP group> <WRAP third column> | ||
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| + | {{ : | ||
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| + | <WRAP center round box download 100%> | ||
| + | < | ||
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| + | * Github link: [[https:// | ||
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| + | </ | ||
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| + | <WRAP center round box todo 100%> | ||
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| + | * Have KAUST IT credentials (i.e. the one you use to access your KAUST email) | ||
| + | * A computer (Linux/ | ||
| + | * Essential knowledge of Python is necessary (Pandas, Numpy libraries…) | ||
| + | * Have some experience with working with Conda package manager | ||
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| + | </ | ||
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| + | </ | ||
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| + | <WRAP twothirds column> | ||
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| + | ===== Overview ===== | ||
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| + | This workshop is designed to introduce participants to the fundamental concepts and basic architectures of deep learning—a sophisticated subset of machine learning responsible for the most cutting-edge advancements in artificial intelligence (AI). | ||
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| + | Without delving into overwhelming technical complexities, | ||
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| + | Whether you're curious about the underlying mechanisms of image classification or computer vision, this workshop is your starting point into the transformative world of deep learning. | ||
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| + | \\ | ||
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| + | ===== Who Should Attend? ===== | ||
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| + | * Anyone with zero experience (or beginner/ | ||
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| + | * You are a programmer that wants to extend their skills into Data Science and Deep Learning to make yourself more valuable | ||
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| + | * Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field | ||
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| + | * You want to add value to your own business or company you work for, by using powerful Deep Learning tools. | ||
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| + | \\ | ||
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| + | ===== Agenda ===== | ||
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| + | ^Time ^Topic | ||
| + | ^9:00am - 9: | ||
| + | ^9:10am - 10: | ||
| + | ^10:15am - 10: | ||
| + | ^10:30am - 12pm |Hands-On Session: Jupyter Notebooks Examples / Q&A |Abdelghafour Halimi | ||
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| + | </ | ||
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| + | ---- | ||
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