If you need a physical copy or a legally scanned version sold by the publisher, check:
"Neural Networks in Computer Intelligence" by Limin Fu is a foundational text that surveys neural network models, learning algorithms, and their applications within artificial intelligence and pattern recognition. The book emphasizes both theoretical underpinnings and practical implementations, covering network architectures, training methods, and examples across classification, clustering, and function approximation. neural networks in computer intelligence limin fu pdf link
Do not try to run the exact code provided in the book (unless you are fluent in older C syntax). Instead, use the mathematical equations provided to build your own implementation in Python or JavaScript. This is the best way to learn. Neural Networks in Computer Intelligence — Limin Fu
Example: Fu explains the Sigmoid Activation Function deeply. Use his explanation to write a simple Python function: Students: Those wanting to understand the mathematical roots
import math
def sigmoid(x): return 1 / (1 + math.exp(-x))
Check out donal on bbc radio & aseem on sky tv talking "the big fat fix"