Neural Networks
Technical Definition
Neural Networks are computing systems inspired by the biological neural networks in human brains. These networks consist of layers of interconnected nodes (neurons) that process data inputs, recognize patterns, and make decisions. Neural networks are typically composed of an input layer, multiple hidden layers, and an output layer. When data is passed through the network, each neuron applies a mathematical transformation to the data, and the output is used to make predictions or classifications. Neural networks are foundational to deep learning models.
Real-World Applications
Facial recognition technology in smartphones uses neural networks to detect and verify users by analyzing their facial features. Additionally, neural networks are key in voice-to-text conversion software like Google Voice, where they help transcribe speech into text with high accuracy.
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