Create and unleash the power of neural networks by implementing professional Java code
Vast quantities of data are produced every second. In this context, neural networks become a powerful technique to extract useful knowledge from large amounts of raw, seemingly unrelated data. One of the most preferred languages for neural network programming is Java as it is easier to write code using it, and most of the most popular neural network packages around already exist for Java. This makes it a versatile programming language for neural networks.
[ESP] Este libro le da un recorrido completo del proceso de desarrollo a base de ejemplos prácticos avanzados basados en redes neuronales con Java.
You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using the concepts you’ve learned. Furthermore, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time.
Table of Contents: [244 Pág.]
- Getting started with neural networks
- How neural networks learn
- Handling perceptrons
- Self-organizing maps
- Forecasting weather
- Classifying disease diagnosis
- Clustering customer profiles
- Pattern recognition (ocr case)
- Neural network optimization and adaptation
Download Link: [6.2 MB]
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