cellular automata and deep learning for pattern recognition

Cellular automata is a computational model consisting of a grid of cells, each having a state that evolves over time based on a set of rules. Deep learning, on the other hand, is a subset of machine learning where artificial neural networks are trained to recognize patterns and make predictions with a high level of accuracy. Combining cellular automata and deep learning involves utilizing deep neural networks to analyze and learn complex patterns from cellular automata models, enabling advanced pattern recognition and prediction capabilities.

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