Computer - Multimedia Classes

Artificial neural networks (ANNs) are computing systems inspired by the structure and functioning of the human brain. They consist of interconnected nodes, called neurons, organized into layers. Information flows through these networks from the input layer, through hidden layers, and finally to the output layer.   Each neuron takes inputs, processes them using weighted connections, applies an activation function, and passes the output to the next layer. The weights on connections between neurons are adjusted during a process known as training, where the network learns from labeled datasets to make predictions or decisions.   Watching the Artificial Intelligence Course video would provide detailed insights into these applications, showcasing real-world examples and the profound influence of AI in different fields. Neural networks are used in various AI applications, including image and speech recognition, natural language processing, autonomous vehicles, and more. They can learn complex patterns and relationships from data, making them powerful tools for solving intricate problems in machine learning and AI.

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