Mathematics for Deep Learning and AI
Preface
0.1
Chapter Updates
0.2
About the Authors
0.3
Contact
1
Introduction to Artificial Intelligence
1.1
Just what is artificial intelligence?
1.2
Intelligence as logic and reasoning
1.3
Logic and Philosophy +++not sure if it is a proper title I would suggest ‘From logic to biology’
1.4
Dealing with Uncertainty and Probability
1.4.1
Information Theory
1.5
The Rise of AI and Neuroscience
1.6
Neurobiology and Cognitive Science
1.6.1
Cortexes
1.6.2
Neurons
1.6.3
Perceptrons and Perception
1.7
The Limits of Logic
1.8
Statistical Learning Theory
1.9
The modern wave of deep neural networks
1.10
Deepmind, OpenAI, and so on
1.11
Why learn the mathematics of deep learning
1.12
The Mathematics Needed
1.12.1
Final Thoughts
2
A framework for Mathematics and Deep Learning
3
Intro to Logic and Reasoning
3.1
History of Logic
3.1.1
The End of Logic?
Github
Mathematics for Deep Learning and Artificial Intelligence
2
A framework for Mathematics and Deep Learning