Machine and deep learning for image data

Trainer: Craig Russell

Overview and learning objectives
By the end of this session you will understand:

• What neural networks and deep neural networks are and what they can do
• How automatic discrete differentiation, back-propogation and loss functions work
• What convolutional neural networks (Unets) and how they work

Materials:

• Slide deck