Slides from Seminars:

• The Brain's Operating System (PDF) - Gabriel Kreiman
• Machine Learning (PDF) - Lorenzo Rosasco

Materials for Tutorials:

• Linear Algebra Tutorial Slides (PDF)
• Basic Neuroscience Tutorial Slides (PDF)
• Cognitive Neuroscience Tutorial Slides (PDF, PPTX)
• Probability Tutorial Slides (PDF)
• Programming Tutorial Problem Set (ZIP)
• Programming Tutorial Solution (M)
• Computational Models of Human Vision Tutorial Part I Slides (PDF)
• Computational Models of Human Vision Tutorial Part II Slides (PDF)
• Optimization Tutorial Slides & Materials on GitHub
• CBMM_Optimization_Notes.html
• Deep Learning Tutorial Slides (PDF)
• Statistics and Data Analysis Tutorial Slides (PDF)
• Overview of Computer Vision Tutorial Slides (PDF)
• Neuroscience Methods Tutorial Slides (PDF)
• Using Encoding to Understand Neural Algorithms Tutorial Slides (PDF)
• Deep Learning Hands-On Tutorial Links:
  • Basics: implementing a multi-layer perceptron and introduction to PyTorch
  • Convolutional Neural Networks
  • Transfer Learning
  • Recurrent Neural Network
• Reinforcement Learning Tutorial Materials:
  • Slides
  • Code example
• Probabilistic Programming Tutorials Materials on GitHub
• Psychophysics and Data Analysis Tutorial Slides (PDF)