This video introduces the fundamental concept of neural networks, explaining how they are structured and how they process information to solve complex problems like handwritten digit recognition. It breaks down the components of a neural network, including neurons, layers, weights, biases, and activation functions, providing an intuitive understanding of how these elements work together. The video also touches upon the mathematical representation of network operations and briefly discusses the evolution of activation functions from sigmoid to ReLU in modern deep learning.