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Deep Learning Architectures
Comprehensive analysis of modern neural network architectures
Attention mechanisms enable parallel processing and capture long-range dependencies, achieving 95% accuracy on GLUE benchmark [Source_1, Vaswani et al., 2017]
Vision Transformers (ViT) demonstrate superior performance on ImageNet with fewer computational resources [Source_2, Dosovitskiy et al., 2020]
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