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

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

: 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. Haykin S. Neural Networks and Learning Machines...

: It begins with the fundamental unit of the human brain—the neuron—and the early attempts by Warren McCulloch and Walter Pitts in 1943 to model it as an electrical circuit. The book is structured to tell the story