Introduction to week 4

So far, we have learned about what deep learning is, how to put together simple deep learning networks using PyTorch, and looked at how to train networks while managing your data efficiently.

This week, we will put all we learned so far together as see hoe deep learning can be used for common tasks such as classification and regression. In the practicals we will put these techniques into practice.

We will cover:

• encoder architectures plus some advanced network features
• making an image classifier in PyTorch
• regression using deep learning.

Week 4 learning outcomes

• Create a simple image classifier using PyTorch
• Modify a deep learning network for use in regression