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What is Modular Neural Networks?

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Modular Neural Networks are AI models composed of smaller interconnected modules, each responsible for a specific sub-task or component. These modular architectures allow for easier interpretation, flexibility, and scalability. Modular neural networks have applications in areas like computer vision, natural language processing, and robotics.

Other Definitions

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Evolutionary Computation is a branch of AI inspired by biological evolution and natural selection. It involves using algorithms to mimic evolutionary processes such as…

Transfer Learning

Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…

Backpropagation

Backpropagation is a technique used in training Artificial Neural Networks. It involves propagating error information backward through the network, allowing adjustments to be made…

Supervised Learning

Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…
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