Fundamentals of Neural Networks Architectures Algorithms and Applications

\""Fundamentals of Neural Networks: Architectures, Algorithms, and Applications\"" by Laurene V. Fausett is a comprehensive textbook published by Prentice Hall PTR in 1993. It covers the fundamentals of neural networks, focusing on their architectures, algorithms, and practical applications. With 480 pages, this hardcover book is a valuable resource for those interested in signals and signal processing, as well as neural networks. Written in English, it provides a detailed exploration of this complex and intriguing subject area, making it a key text for adult learners and university students studying in the field of computers, technology, and engineering.

Compare prices (2 shops)

Sort: Price: lowest first Price: highest first

shop	Price	Action
	19,99 GBP	Go to shop
	19,99 GBP	Go to shop

Fundamentals of Neural Networks Architectures Algorithms and Applications

Compare prices (2 shops)

Similar products

Recurrent Neural Networks for Prediction – Learning Algorithms, Architectures a…

Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing

Neural Networks: Theory, Algorithms, Simulation, and Applications (Studies in Computational Intelligence, 1273)

Neural Networks and Learning Algorithms in MATLAB

ARTIFICIAL NEURAL NETWORKS FUNDAMENTALS: deep learning architectures training methods and intelligent system applications (ADVANCED COMPUTING AND INTELLIGENT TECHNOLOGIES SERIES)

Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks