This book provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subjec
833 177 40MB
English Pages 823 Year 1998
Report DMCA / Copyright
DOWNLOAD FILE
1,873 170 2MB Read more
1,044 108 597KB Read more
1,767 56 1MB Read more
1,147 166 526KB Read more
A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architec
2,578 357 12MB Read more
As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review
1,441 159 9MB Read more
1,964 361 6MB Read more
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of
3,285 355 10MB Read more
This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The
3,099 607 7MB Read more
Accelerators for Convolutional Neural Networks Comprehensive and thorough resource exploring different types of convolu
214 67 10MB Read more