Scott Chin

Background

I am an Adjunct Professor in the Department of Electrical and Computer Engineering at the University of British Columbia in Vancouver, B.C. Currently, I am Principal Architect & VP Research at Singulos Research.

Research

Publications

CPEN 400D: Deep Learning

• CPEN 400D Part 1: What is Deep Learning? [pdf]
• CPEN 400D Part 2: Logistic Regression [pdf]
• CPEN 400D Part 3: Logistic Regression Implementation and Evaluation [pdf]
• CPEN 400D Part 4: Neural Networks [pdf]
• CPEN 400D Part 5: Neural Networks Implementation and Evaluation [pdf]
• CPEN 400D Part 6: Multiclass Classification [pdf]
• CPEN 400D Part 7: Deep Neural Networks [pdf]
• CPEN 400D Part 8: Backpropagation [pdf]
• CPEN 400D Part 9: Activation Functions [pdf]
• CPEN 400D Part 10: Vectorized Backpropagation [pdf]
• CPEN 400D Part 11: Intro to Convolutional Neural Networks [pdf]
• CPEN 400D Part 12: Convolutional Neural Networks [pdf]
• CPEN 400D Part 13: Convolutional Layer Implementation [pdf]
• CPEN 400D Part 14: CNN Backpropagation [pdf]
• CPEN 400D Part 15: CNN Architectures [pdf]
• CPEN 400D Part 16: CNN Applications [pdf]
• CPEN 400D Part 17: Gradient Descent [pdf]
• CPEN 400D Part 18: Optimization [pdf]
• CPEN 400D Part 19: Regularization and Training [pdf]
• CPEN 400D Part 20: Recurrent Neural Networks [pdf]
• CPEN 400D Part 21: RNN Implementation [pdf]
• CPEN 400D Part 22: Natural Language Processing [pdf]
• CPEN 400D Part 23: Generative Models, GANs, Reinforcement Learning [pdf]

Contact