Haykin S. Neural Networks And Learning Machines... -

: Haykin details the "renaissance" of the field, where researchers developed Multilayer Perceptrons and backpropagation, allowing networks to learn much more sophisticated tasks.

For those looking to dive into this "journey into neural networks", the book is a standard for graduate-level courses in computer and electrical engineering. You can find copies or details through major retailers and educational platforms: Neural Networks and Learning Machines - Amazon.com Haykin S. Neural Networks and Learning Machines...

The book is structured to tell the story of intelligence through two closely related "pillars": the biological brain and the computational machine. : Haykin details the "renaissance" of the field,

: The narrative moves to Frank Rosenblatt’s Perceptron , the first real step toward a machine that could "learn" to recognize patterns, though it was initially limited by its inability to solve complex problems. : The narrative moves to Frank Rosenblatt’s Perceptron