Definition:
Neural Network /ˈnjʊə.rəl ˈnɛt.wɜːk/ noun — A neural network is a computational model in artificial intelligence designed to simulate the way the human brain processes information. It consists of layers of interconnected nodes, or “neurons,” which transmit signals and transform data through weighted connections and activation functions.
Neural networks learn to recognize patterns, relationships, and structures in input data through training processes like backpropagation and gradient descent. They are the foundation of deep learning and are used in a wide array of applications, including:
- Image and speech recognition
- Natural language processing
- Autonomous vehicles
- Medical diagnostics
- Financial forecasting
Types of neural networks include:
- Feedforward Neural Networks (FNNs)
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transformer Networks
Their ability to handle vast amounts of complex, high-dimensional data makes neural networks one of the most powerful tools in modern AI systems.
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