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ANN
(Artificial Neural Network)
ANN is a computing system inspired by biological neural networks, consisting of interconnected nodes that process information. These networks form the foundation of most modern ML systems, capable of learning complex patterns from data.
ANNs are particularly effective for tasks like image and speech recognition, where they outperform traditional algorithms. Different architectures like CNNs for spatial data and LSTMs for sequential data have been developed for specialized applications. Training ANNs requires large datasets and computational resources, but techniques like transfer learning and AutoML are making them more accessible.
ANNs are particularly effective for tasks like image and speech recognition, where they outperform traditional algorithms. Different architectures like CNNs for spatial data and LSTMs for sequential data have been developed for specialized applications. Training ANNs requires large datasets and computational resources, but techniques like transfer learning and AutoML are making them more accessible.