2. Motivation Computers are good at some things… Calculating 
Sorting lists
Manipulating data
i.e. anything involving a well-defined algorithm (involving “calculation”)

3. Motivation Computers are bad at some things… Recognizing faces
Noticing patterns
Making decisions
i.e. things that humans do all the time!

4. Examples
Image/sound recognition
Faces/voices
Text
Problems/anomalies

5. Examples Decision-making Loan application Path navigation
Path optimization
Classification
Sorting
Who wrote this text?

6. Examples
Prediction
Stock market
Football
Purchasing habits/desires

10. Basic Idea of Neural Networks
Since humans can easily solve certain problems that computers have a hard time solving…
Why not try to mimic the brain’s behavior with a computer program?

11. Basic Idea of Neural Networks
Humans:
Observe input and/or output
Numerous times
Learn often by trial-and-error
Extend observed cases to new observations

12. Basic Idea of Neural Networks
Computer model:
Function to turn input into output
Learn from observed data
Brain = highly interconnected network of simple elements
Learning = adjusting (strength of) connections

13. InputOutput: Examples
Image/sound recognition
Faces/voices
Text
Problems/anomalies

14. InputOutput: Examples
Decision-making
Loan application
Path navigation
Path optimization
Classification
Sorting
Who wrote this text?

15. InputOutput: Examples
Prediction
Stock market
Football
Purchasing habits/desires

16. Learning
Supervised
Reinforcement
Unsupervised/associative