Artificial Intelligence Foundations: Neural Networks

Introduction

• Welcome

1. What Are Artificial Neural Networks?

• Use a neural network
• Multilayer perceptrons
• Make decisions with neurons

2. Neural Networks for Machine Learning

• Find complex patterns
• Feed data into the network
• Use hidden layers
• Add weights
• Determine the activation level
• Give the neurons an activation bias

3. Configuring the Neural Network

• 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

4. Using the Neural Network to Find Patterns

• Classify massive data sets
• Cluster your data into groups
• Avoid serious challenges

Conclusion

• Next steps