Title
Practical Neural Network Recipies in C++,New
Delivery time: 8-12 business days (International)
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problemsolving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up.The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included.Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.
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⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Practical Neural Network Recipes in C++'? A: The book primarily focuses on three-layer feedforward networks, which have been widely used in professional applications for over a decade.
- Q: Is prior knowledge of neural networks necessary to understand this book? A: No, the book does not assume any background in neural networks and presents all models from the ground up.
- Q: What programming language is used in the book? A: The book uses C++ to demonstrate neural network solutions and includes source code for all programs.
- Q: Does the book provide guidance on training neural networks? A: Yes, it offers detailed guidance on designing training sets, preprocessing variables, training, validating the network, and evaluating its performance.
- Q: Are there additional resources included with the book? A: Yes, the book comes with an IBM diskette that contains the source code for all the programs discussed in the text.
- Q: What type of reader is this book intended for? A: It is intended for individuals with moderate programming experience who want to apply neural networks to practical problems.
- Q: How many pages does 'Practical Neural Network Recipes in C++' have? A: The book contains a total of 493 pages.
- Q: What is the condition of the book? A: The item condition is listed as 'Good', indicating that it is used but in a satisfactory state.
- Q: When was 'Practical Neural Network Recipes in C++' published? A: The book was published on April 14, 1993.
- Q: What edition of the book is available? A: This is the first edition of 'Practical Neural Network Recipes in C++'.