Completed
Analog computing
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Differences Between Neural Networks and the Brain
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 Brain vs Neural Networks
- 3 Representation
- 4 Learning
- 5 Tasks
- 6 Object learning
- 7 Some models are useful
- 8 We need concrete tasks
- 9 Visual recognition
- 10 Oneshot learning
- 11 Machine learning
- 12 Complex models
- 13 Dendritic integration
- 14 Complexity vs independence
- 15 The brain as our ultimate task
- 16 Computer vision
- 17 Statistical thermodynamics
- 18 Statistical mechanics
- 19 Patterns of inheritance
- 20 Speciesspecific models
- 21 What are the next challenges
- 22 Quantum mechanics
- 23 Generalizable insight
- 24 Analog computing
- 25 Conclusion
