Provides a mathematical perspective to some key elements of so-called deep neural networks (DNNs). Much of the interest
780 162 11MB
English Pages 160 Year 2023
Report DMCA / Copyright
DOWNLOAD FILE
The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural network
296 36 11MB Read more
1,966 331 11MB Read more
4,183 992 3MB Read more
158 80 5MB Read more
1,039 166 3MB Read more
486 25 37MB Read more
A fully self-contained introduction to machine learning. All that the reader requires is an understanding of the basics
2,673 714 17MB Read more
1,259 182 3MB Read more
Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topic
5,852 962 17MB Read more
Deep Learning is the algorithm powering the current renaissance of Artificial Intelligence (AI). And the progress is not
3,350 1,076 24MB Read more