• Ivan Bajic
• Office hours: Tuesdays, 1:00pm - 2:00pm PST, online (Canvas)

• Sedigheh Razmpour

• Tuesdays, 2:00pm - 3:50pm PST, online (Canvas)
• Thursdays, 2:00pm - 3:50pm PST, online (Canvas)

Introduction to machine learning and artificial neural networks; feasibility of learning; deep feedforward networks; regularization in deep learning; optimization of deep learning models; convolutional networks; recurrent and recursive networks; applications.

• Lecture material available through SFU Canvas

• I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, MIT Press, 2016. Link
• Y. S. Abu-Mostafa, M. Magdon-Ismail, H.-T. Lin, Learning From Data, 2012. Link
• F. Chollet, Deep Learning with Python, Second Edition, Manning Publications, 2021. Link
• L. Deng and D. Yu, Deep Learning: Methods and Applications, 2014. Link
• M. Nielsen, Neural Networks and Deep Learning. Link
• T. Rashid, Make Your Own Neural Network, 2016.