Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.
Please read the tutorial at this link: https://ebookbell.com/faq
We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.
For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.
EbookBell Team
4.0
76 reviewsThe material is presented with a minimum of math (although the mathematical details are included in the appendices for interested readers), and with a maximum of hands-on experience. All specialized terms are included in a glossary. The result is a highly readable text that will teach the engineer the guiding principles necessary to use and apply artificial neural networks.
Contents
- Preface
- Acknowledgments
- Introduction
- Learning Methods
- Data Normalization
- Data Collection, Preparation, Labeling, and Input Coding
- Output Coding
- Post-Processing
- Supervised Training Methods
- Unsupervised Training Methods
- Recurrent Neural Networks
- A Plethora of Applications
- Dealing with Limited Amounts of Data
- Appendix A: The Feedforward Neural Network
- Appendix B: Feature Saliency
- Appendix C: Matlab Code for Various Neural Networks
- Appendix D: Glossary of Terms
- References
- Index
