Tower: Revision history

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21 March 2023

  • curprev 22:2822:28, 21 March 2023‎ Walle talk contribs‎ 2,816 bytes +2,816‎ Created page with "{{see also|Machine learning terms}} ==Tower in Machine Learning== The term "tower" in machine learning typically refers to a specific arrangement of layers within a neural network architecture. The term is primarily used to describe architectures where multiple parallel branches are vertically stacked, allowing for a hierarchical structure that can help improve the model's performance and accuracy. ===Background=== Tower architectures were introduced as a way to address..."
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