This page outlines the weekly schedule for lectures, labs, assignments, and examinations. The schedule will be updated regularly to align with the University of Juba's academic calendar and holiday schedule. Reading materials, lecture slides, and lab materials will be accessible through this schedule, with links provided for downloading prior to the commencement of each lecture or lab session. If you encounter any difficulties or have questions, please contact the lead Teaching Fellow, Thiong Abraham.
Week 1: Introduction and Logistics
In the lecture portion of Week 1, we will provide a comprehensive overview of deep learning, including its fundamental concepts, applications, and the role of neural networks. We will also discuss the TensorFlow/Keras framework, which will be the primary tool used throughout the course. In the lab session, students will set up their development environment using Google Colab, experiment with a neural network, and familiarize themselves with the TensorFlow/Keras API.