CSC321 Neural Networks and Machine Learning (UTM)

Abstraction: University of Toronto UTM introductory neural networks and ML course

Key points:

• Spring 2020 course at University of Toronto Mississauga (UTM), coordinated by Lisa Zhang; lectures by Pouria Fewzee and Lisa Zhang
• Course covers foundational ideas and recent advances in neural network algorithms; roughly 2/3 supervised learning, 1/3 unsupervised learning
• Neural networks are described as the core of production systems at Google and Facebook for face recognition, speech-to-text, and language understanding
• Primary text: written notes by Prof. Roger Grosse (U of T), posted on course website
• Four projects and five homeworks structured over 12 weeks; uses Piazza for Q&A and Quercus for announcements

Connections: University Of Toronto · Neural Networks · Supervised Learning · Unsupervised Learning

Source: https://www.cs.toronto.edu/~lczhang/321/