Migliaccio A Systems Engineering Neural Networks 2023
Category: eBooks
- views: 245
- date: 19 January 2023
- posted by: BeMyLove
Migliaccio A Systems Engineering Neural Networks 2023 | 39.54 MB
English | 311 Pages
Title: Systems Engineering Neural Networks
Author: Alessandro Migliaccio
Year: 2023
Description:
SYSTEMS ENGINEERING NEURAL NETWORKS A complete and authoritative discussion of systems engineering and neural networks
In Systems Engineering Neural Networks , a team of distinguished researchers deliver a thorough exploration of the fundamental concepts underpinning the creation and improvement of neural networks with a systems engineering mindset. In the book, you'll find a general theoretical discussion of both systems engineering and neural networks accompanied by coverage of relevant and specific topics, from deep learning fundamentals to sport business applications.
Readers will discover in-depth examples derived from many years of engineering experience, a comprehensive glossary with links to further reading, and supplementary online content. The authors have also included a variety of applications programmed in both Python 3 and Microsoft Excel.
The book provides:
Perfect for students and professionals eager to incorporate machine learning techniques into their products and processes, Systems Engineering Neural Networks will also earn a place in the libraries of managers and researchers working in areas involving neural networks.
DOWNLOAD:
https://rapidgator.net/file/633a700e998f844dfcad3323b64acde4/Migliaccio_A._Systems_Engineering_Neural_Networks_2023.rar
https://uploadgig.com/file/download/dd71fb880E3f4043/Migliaccio_A._Systems_Engineering_Neural_Networks_2023.rar
SYSTEMS ENGINEERING NEURAL NETWORKS A complete and authoritative discussion of systems engineering and neural networks
In Systems Engineering Neural Networks , a team of distinguished researchers deliver a thorough exploration of the fundamental concepts underpinning the creation and improvement of neural networks with a systems engineering mindset. In the book, you'll find a general theoretical discussion of both systems engineering and neural networks accompanied by coverage of relevant and specific topics, from deep learning fundamentals to sport business applications.
Readers will discover in-depth examples derived from many years of engineering experience, a comprehensive glossary with links to further reading, and supplementary online content. The authors have also included a variety of applications programmed in both Python 3 and Microsoft Excel.
The book provides:
- A thorough introduction to neural networks, introduced as key element of complex systems
- Practical discussions of systems engineering and forecasting, complexity theory and optimization and how these techniques can be used to support applications outside of the traditional AI domains
- Comprehensive explorations of input and output, hidden layers, and bias in neural networks, as well as activation functions, cost functions, and back-propagation
- Guidelines for software development incorporating neural networks with a systems engineering methodology
Perfect for students and professionals eager to incorporate machine learning techniques into their products and processes, Systems Engineering Neural Networks will also earn a place in the libraries of managers and researchers working in areas involving neural networks.
DOWNLOAD:
https://rapidgator.net/file/633a700e998f844dfcad3323b64acde4/Migliaccio_A._Systems_Engineering_Neural_Networks_2023.rar
https://uploadgig.com/file/download/dd71fb880E3f4043/Migliaccio_A._Systems_Engineering_Neural_Networks_2023.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||