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Embedding layer: Difference between revisions
Created page with "===Introduction== Machine learning often deals with high-dimensional vectors, which can be challenging to process and analyze directly. To solve this problem, machine learning models often incorporate an "embedding layer," which transforms the input data into a lower dimensional space where it's easier to interpret. This embedding layer plays a major role in many machine learning algorithms such as neural networks and has applications across various fields from natural l..."
(Created page with "===Introduction== Machine learning often deals with high-dimensional vectors, which can be challenging to process and analyze directly. To solve this problem, machine learning models often incorporate an "embedding layer," which transforms the input data into a lower dimensional space where it's easier to interpret. This embedding layer plays a major role in many machine learning algorithms such as neural networks and has applications across various fields from natural l...") |
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