Intro to Computer Vision

Two-part lecture to introduct postgraduate students to computer vision approaches using Python and TensorFlow.

Part 1 - Intro to Computer Vision and Convolutional Neural Networks

• What is a computer vision problem and how do we use machine learning to tackle them?
• What are convolutional neural networks?
• Tutorial: Building a custom dataset and learning to recognise hand-written digits

Part 2 - Transfer Learning and Fully Convolutional Neural Networks

• How do we combine CNN layers into computer vision architectures?
• What do we do if we don't have as large a dataset as we'd like? Transfer learning!
• Other computer vision problems: fully-convolutional neural networks
• Tutorial: Flower species classification using Tensorflow and transfer learning