Fundamentals of Deep Learning for Computer Vision Workshop (UCL)

In these labs, you will learn the basics of deep learning by training and deploying neural networks. Build the skill-set and toolbox you need to build your own deep learning solutions through hands-on projects. Learners will:

• Understand general terms and background of deep learning
• Implement common deep learning workflows such as Image Classification and Object Detection
• Manipulate training parameters to improve accuracy
• Modify internal layers of neural networks to adapt to new problems
• Deploy your networks to start solving real-world problems

Content level: Beginner

Pre-Requisites: Technical background and basic understanding of deep learning concepts

• Lab 01: Image Classification with DIGITS
• Lab 02: Object Detection with DIGITS
• Lab 03: Neural Network Deployment with DIGITS and TensorRT