Which neural network architecture revolutionized retail analytics in 2017 by enabling unprecedented accuracy in predicting consumer purchase patterns from incomplete shopping data?

Artificial intelligence and machine learning have transformed how retailers analyze consumer behavior and make data-driven decisions. Neural networks in particular have revolutionized predictive analytics in retail science. This poll tests your knowledge about a significant breakthrough in retail analytics that changed how scientific retailers approach customer behavior prediction.

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Transformer Networks (with attention mechanisms)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Generative Adversarial Networks (GAN)