Dive into the world of deep learning with this comprehensive course! Explore core algorithms and applications in NLP, computer vision, biology, and beyond. Build your own neural networks and gain practical skills. Delve into cutting-edge topics like large language models and generative AI. The course culminates in a project competition with valuable feedback from industry experts. Prerequisites include calculus and linear algebra, with Python experience a plus. Let's unlock the power of deep learning together!
Assistant Professor, Computer Science
E-mail: uojdeeplearning@gmail.com
Meeting: Click her to schedule a meeting
Click the photo to download PDF or read online at: https://www.deeplearningbook.org |
Lecture: Monday, 2pm-3pm @ Senate Hall
Core Labs (@ UoJ Computer Lab)
Innovation Lab (@ UoJ Computer Lab) |
Thiong Abraham
(Head TF, Laboratory Group A)
Anthony Bush
(Laboratory Group D)
Kuol Duot
(Laboratory Group C)
James Anyieth
(Laboratory Group B)
Elizala Wallah
(Laboratory Group B)
Juma Albert
(Laboratory Group B)
Jalle Benson
(Laboratory Group C)
Akuei Joseph
(Lecture)
Samuel Mabior
(Innovation Lab)
Moses Ajang
(Laboratory Group D)
Modi
(Innovation Lab)
Johnson
(Laboratory Group A)
Susan
(Innovation Lab)
Waden
(Laboratory Group A)
Nyalimo
(Laboratory Group C)
Partis
(Laboratory Group D)