statements are true about embedding vectors 1) Embedding vectors can be learned jointly with the task at hand (e.g., classification or regression) 2) Embedding vectors are used to create a dense/lower dimensional representation of high dimensional sparse vectors.
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Which statements are true about embedding
1) Embedding vectors can be learned jointly with the task at hand (e.g., classification or regression)
2) Embedding vectors are used to create a dense/lower dimensional representation of high dimensional sparse vectors.
3) Embedding vectors preserve semantic relationship between different levels of a categorical variable.
4) embedding layer is essentially a dense layer with sigmoid activation function.
5) Word embeddings map each word in a document to a fixed length floating point vector
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