Course Highlights
  • Understand the basics and terminology related to Deep Learning
  • Identify the types of neural networks to use to solve different types of problems
  • Get familiar with Deep Learning libraries through practical and tutorial sessions
Curriculum

2 Topics
Introduction to ML
ML Tools

3 Topics
Modular Approaches
Backpropagation
Optimization

2 Topics
Introduction to CNN
CNN Architectures

2 Topics
Sequence to Sequence Models
Concepts in Natural Language Processing

2 Topics
Differences of Fairness
Fairness in Pre- In- and Post-Processing

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UMontrealX: Deep Learning Essentials

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