Artificial neural networks are the foundation of most recent advances in artificial intelligence. Inspired by the human brain, these mathematical structures have revolutionised fields ranging from image recognition to natural language processing.
Basic Architecture
A neural network consists of layers of interconnected nodes. The input layer receives data, hidden layers process information, and the output layer produces the result. Each connection carries a weight that is adjusted during training.
Deep Learning
Deep neural networks use multiple hidden layers to learn increasingly abstract representations of data. This enables them to tackle complex problems that were previously beyond the reach of machines.
Understanding neural networks is essential for any professional who wants to harness the power of AI within their organisation.
