FAQ

Can I audit or sit in?

I am very open to auditing guests if you are a member of the UBC community (registered student, staff, and/or faculty). I would appreciate that you first email me. If the in-person class is too full and running out of space, I would ask that you please allow registered students to attend.

Is there a textbook for this course?

While there is no required textbook, I recommend the following closely relevant ones for further reading:

• DL book: "Deep Learning" by Ian Goodfellow, Yoshua Bengio, Aaron Courville. Free online version
• PML1 book: "Probabilistic Machine Learning: An Introduction" by Kevin Murphy. Free online version
• PML2 book: "Probabilistic Machine Learning: Advanced Topics" by Kevin Murphy. Free online version
• PRML book: "Pattern Recognition and Machine Learning" by Christopher Bishop. Free online version

I also recommend students who are self-motivated to take a look at similar courses taught at other universities:

• UofT CSC413/2516, Winter 2022: Neural Networks and Deep Learning
• University of Amsterdam, 2022: Deep Learning
• EPFL EE559, Spring 2022: Deep Learning
• Stanford CS231n, Spring 2022: Deep Learning for Computer Vision