Neural Network Workshop

What: A hands-on workshop using Neural Networks that includes both the theory and practical implementation.

When: Tenatively January 26, 2011

Why: To raise Neural Network Awareness (NNA) and money for Noisebridge. Donations towards Noisebridge will be encouraged and appreciated.

Where: In the back classroom

Who: Anyone who wants to participate, either come and learn or help teach

Math Preliminaries
- Universal Approximators: Kolmogorov's Theorem
- Linear Algebra: vectors, matricies
- Optimization Theory: error functions, gradients
- Machine Learning: regression, classification
Neural Networks
- Basic Architecture
- Activation Functions
- Error Functions and Output Layers
  - Regression (univariate and multivariate)
  - Classification (binary and multi-class, logistic and softmax)
- Training
  - Backpropagation
- Implementation
  - Identifying Faces with Neural Nets
  - ??? Other such ideas

This is just a list of packages used for constructing and training neural networks:

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