Overview
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Learn the key concepts behind artificial neural networks. Discover how to configure a neural network and use that network to find patterns in massive data sets.
Syllabus
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Introduction
- Welcome
- Use a neural network
- Multilayer perceptrons
- Make decisions with neurons
- Find complex patterns
- Feed data into the network
- Use hidden layers
- Add weights
- Determine the activation level
- Give the neurons an activation bias
- Initialize your network
- Improve your network's accuracy
- Use back propagation for errors
- Move backwards to help the network learn
- Tune your network
- Link your learning with the chain rule
- Classify massive data sets
- Cluster your data into groups
- Avoid serious challenges
- Next steps
