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Typo: Emedding -> Embedding #16

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Typo: Emedding -> Embedding #16

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -448,7 +448,7 @@ Without these designs, modern image generation models like [Stable Diffusion](ht

The [Word2Vec](/03-sequence-modeling/04-word2vec/03-word2vec.ipynb) model popularized the concept of text embeddings that preserve semantic and syntactic meaning by forcing models to create vector representations for concepts with interesting properties.

A commonly used example of the power of such embeddings is that the following equation holds true in the embedding space: Emedding("King") - Embedding("Man") + Embedding("Woman") = Embedding("Queen").
A commonly used example of the power of such embeddings is that the following equation holds true in the embedding space: Embedding("King") - Embedding("Man") + Embedding("Woman") = Embedding("Queen").

Embeddings show us how the relationships between concepts can be represented in a highly condensed format.

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