The Brain Behind Modern AI

Neural Networks are inspired by the human brain’s structure and functioning.
They consist of interconnected layers of nodes (neurons) that process information through weights and activations.
Each layer learns abstract representations of data, enabling deep learning models to recognize images, translate languages, and generate text.

Advanced architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have revolutionized AI.
They form the backbone of modern technologies like voice assistants, autonomous systems, and predictive analytics.
In essence, neural networks are what make modern AI intelligent, adaptive, and powerful.