IndabaX Research Circle | Session One: Foundations of Machine Learning for Computer Vision
Ever wondered how a computer "sees" a picture? Join us for Session One of the IndabaX Research Circle, where we start from the basics and build up to how machines learn from images.
What we will cover
Supervised vs unsupervised learning
Data, features and labels, and training vs testing
How a neural network learns: weights, loss and training
What computer vision is and where it is used
What you will take away
You will be able to explain how a machine learns from images, and you will be ready for the hands-on sessions that follow.
Who should come
Students and anyone curious about AI and computer vision.
About the Research Circle
A four-week series on computer vision, from the foundations to building and fine-tuning your own model with Python, Google Colab, NumPy, OpenCV and TensorFlow/Keras.
What to bring
Your laptop (optional) and a Google account for the later Colab sessions.
Organised by: IndabaX Kabale University Chapter