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Prepare data for many different tasks
Carry out some unusual neural network processing
Use a neural network to process non-continuous functions
Develop a program that recognizes handwritten digits
Prepare data for many different tasks
Carry out some unusual neural network processing
Use a neural network to process non-continuous functions
Develop a program that recognizes handwritten digits
Covers the use of the Encog Java framework for the development of neural network applications
Teaches you how to use a neural network to process non-continuous functions
Includes the use of neural networks for regression and image recognition
Part 1: Getting Started with Neural Networks.- Chapter 1. Learning Neural Network.- Chapter 2. Internal Mechanism of Neural Network Processing.- Chapter 3. Manual Neural Network Processing.- Part 2: Neural Network Java Development Environment.- Chapter 4. Configuring Your Development Environment.- Chapter 5. Neural Network Development Using Java Encog Framework.- Chapter 6. Neural Network Prediction Outside of the Training Range.- Chapter 7. Processing Complex Periodic Functions.- Chapter 8. Approximating Non-Continuous Functions.- Chapter 9. Approximation Continuous Functions with Complex Topology.- Chapter 10. Using Neural Network for Classification of Objects.- Chapter 11. Importance of Selecting the Correct Model.- Chapter 12. Approximation of Functions in 3-D Space.- Part 3: Introduction to Computer Vision.- Chapter 13. Image Recognition.- Chapter 14. Classification of Handwritten Digits.
Erscheinungsjahr: | 2021 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xviii
631 S. 105 s/w Illustr. 631 p. 105 illus. |
ISBN-13: | 9781484273678 |
ISBN-10: | 1484273672 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Livshin, Igor |
Auflage: | 2nd edition |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 34 mm |
Von/Mit: | Igor Livshin |
Erscheinungsdatum: | 19.10.2021 |
Gewicht: | 1,206 kg |
Covers the use of the Encog Java framework for the development of neural network applications
Teaches you how to use a neural network to process non-continuous functions
Includes the use of neural networks for regression and image recognition
Part 1: Getting Started with Neural Networks.- Chapter 1. Learning Neural Network.- Chapter 2. Internal Mechanism of Neural Network Processing.- Chapter 3. Manual Neural Network Processing.- Part 2: Neural Network Java Development Environment.- Chapter 4. Configuring Your Development Environment.- Chapter 5. Neural Network Development Using Java Encog Framework.- Chapter 6. Neural Network Prediction Outside of the Training Range.- Chapter 7. Processing Complex Periodic Functions.- Chapter 8. Approximating Non-Continuous Functions.- Chapter 9. Approximation Continuous Functions with Complex Topology.- Chapter 10. Using Neural Network for Classification of Objects.- Chapter 11. Importance of Selecting the Correct Model.- Chapter 12. Approximation of Functions in 3-D Space.- Part 3: Introduction to Computer Vision.- Chapter 13. Image Recognition.- Chapter 14. Classification of Handwritten Digits.
Erscheinungsjahr: | 2021 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xviii
631 S. 105 s/w Illustr. 631 p. 105 illus. |
ISBN-13: | 9781484273678 |
ISBN-10: | 1484273672 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Livshin, Igor |
Auflage: | 2nd edition |
Hersteller: |
Apress
Apress L.P. |
Maße: | 254 x 178 x 34 mm |
Von/Mit: | Igor Livshin |
Erscheinungsdatum: | 19.10.2021 |
Gewicht: | 1,206 kg |