Närvivõrgustikul

Närvivõrgustikul is an Estonian term that translates to "neural network" in English. It refers to a computational model inspired by the structure and function of biological neural networks, which form the basis of animal brains. These networks are composed of interconnected nodes, often called artificial neurons or processing units, that work together to process information.

The fundamental concept of a neural network involves layers of these neurons. An input layer receives raw data, which is then processed by one or more hidden layers. Finally, an output layer produces the result of the computation. Each connection between neurons has an associated weight, which is adjusted during a learning process. This learning typically involves presenting the network with a large dataset and modifying the weights to minimize the difference between the network's predictions and the actual outcomes.

Neural networks are a core component of machine learning and artificial intelligence. They are capable of learning complex patterns and relationships within data, making them suitable for a wide range of applications. These include image recognition, natural language processing, speech synthesis, financial forecasting, and medical diagnosis. The ability of neural networks to learn from data without explicit programming is what makes them so powerful and versatile. Different types of neural network architectures exist, such as convolutional neural networks (CNNs) for image processing and recurrent neural networks (RNNs) for sequential data like text.