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!

felix
Instructor
Dr. Felix Gonda

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)
Group A: Tuesday 2pm-3pm
Group B: Tuesday 3pm-4pm
Group C: Thursday 2pm-3pm
Group D: Thursday 3pm-4pm

Innovation Lab (@ UoJ Computer Lab)
Friday, 2pm-4pm

Teaching Fellows
Anthony

Anthony Bush
(Laboratory Group D)

Kuol

Kuol Duot
(Laboratory Group C)

James

James Anyieth
(Laboratory Group B)

Elizala

Elizala Wallah
(Laboratory Group B)

Juma

Juma Albert
(Laboratory Group B)

Benson

Jalle Benson
(Laboratory Group C)

Akuei

Akuei Joseph
(Lecture)

Samuel

Samuel Mabior
(Innovation Lab)

Moses

Moses Ajang
(Laboratory Group D)

Johnson

Johnson
(Laboratory Group A)

Susan

Susan
(Innovation Lab)

Nyalimo

Nyalimo
(Laboratory Group C)