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:
- Probabilistic Programming Tutorials Materials on GitHub
- Psychophysics and Data Analysis Tutorial Slides (PDF)