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Hands-On Neural Network Programming with C Add powerful neural
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Located in: Harrisonburg, Virginia, United States
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Estimated between Mon, 13 May and Fri, 17 May to 43230
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eBay item number:395078609476
Item specifics
- Condition
- Book title
- Hands-On Neural Network Programming with C#: Add powerf
- Subject
- Networks
- ISBN
- 9781789612011
- Publication Year
- 2018
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Hands-On Neural Network Programming with C# : Add Powerful Neural Network Capabilities to Your C# Enterprise Applications
- Item Length
- 3.6in
- Publisher
- Packt Publishing, The Limited
- Item Width
- 3in
- Number of Pages
- 328 Pages
About this product
Product Information
Create and unleash the power of neural networks by implementing C# and .Net code Key Features Get a strong foundation of neural networks with access to various machine learning and deep learning libraries Real-world case studies illustrating various neural network techniques and architectures used by practitioners Cutting-edge coverage of Deep Networks, optimization algorithms, convolutional networks, autoencoders and many more Book Description Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks. This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search. Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications. What you will learn Understand perceptrons and how to implement them in C# Learn how to train and visualize a neural network using cognitive services Perform image recognition for detecting and labeling objects using C# and TensorFlowSharp Detect specific image characteristics such as a face using Accord.Net Demonstrate particle swarm optimization using a simple XOR problem and Encog Train convolutional neural networks using ConvNetSharp Find optimal parameters for your neural network functions using numeric and heuristic optimization techniques. Who this book is for This book is for Machine Learning Engineers, Data Scientists, Deep Learning Aspirants and Data Analysts who are now looking to move into advanced machine learning and deep learning with C#. Prior knowledge of machine learning and working experience with C# programming is required to take most out of this book
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1789612012
ISBN-13
9781789612011
eBay Product ID (ePID)
27038615308
Product Key Features
Publication Name
Hands-On Neural Network Programming with C# : Add Powerful Neural Network Capabilities to Your C# Enterprise Applications
Format
Trade Paperback
Language
English
Publication Year
2018
Type
Textbook
Number of Pages
328 Pages
Dimensions
Item Length
3.6in
Item Width
3in
Additional Product Features
Table of Content
Table of Contents A Quick Refresher Building our first Neural Network Together Decision Tress and Random Forests Face and Motion Detection Training CNNs using ConvNetSharp Training Autoencoders Using RNNSharp Replacing Back Propagation with PSO Function Optimizations; How and Why Finding Optimal Parameters Object Detection with TensorFlowSharp Time Series Prediction and LSTM Using CNTK GRUs Compared to LSTMs, RNNs, and Feedforward Networks Appendix A- Activation Function Timings Appendix B- Function Optimization Reference
Target Audience
Trade
Topic
Programming Languages / C++, Programming Languages / C#, Data Modeling & Design, Neural Networks
Genre
Computers
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:395078609476
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Item location:
Harrisonburg, Virginia, United States
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| Postage and handling | To | Service | Delivery*See Delivery notes |
|---|---|---|---|
| US $15.00 (approx RM 71.10) | United States | Expedited Postage (USPS Priority Mail®) | Estimated between Mon, 13 May and Fri, 17 May to 43230 |
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| Will usually post within 3 business days of receiving cleared payment. |
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Seller feedback (62)
1***7 (472)- Feedback left by buyer.
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Item as described good ebayer would do business again fast shipping A++++++++++++++++++××++++++++++++++
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Excellent seller!!! A++ New Yamaha YMA-10 WiFi Wireless Network Adapter. Excellent condition, brand new in original packaging, however it was missing the USB power cable. I contacted the seller who was very understanding and explained what possibly happened. They offered to resolve the issue with a partial refund that would cover the cost of a replacement cable. Thank you very much.
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Fast shipping calculator work fine perfect conditions thank you so much
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