Tags
#deeplearning #embeddings #nlp
Question
List three reasons to use Entity Embeddings of categorical variables.
Answer
- Entity embedding reduces memory usage
- It speeds up neural networks training compared with one-hot encoding,
- More importantly by mapping similar values close to each other in the embedding space it reveals the intrinsic properties of the categorical variables
Tags
#deeplearning #embeddings #nlp
Question
List three reasons to use Entity Embeddings of categorical variables.
Tags
#deeplearning #embeddings #nlp
Question
List three reasons to use Entity Embeddings of categorical variables.
Answer
- Entity embedding reduces memory usage
- It speeds up neural networks training compared with one-hot encoding,
- More importantly by mapping similar values close to each other in the embedding space it reveals the intrinsic properties of the categorical variables
If you want to change selection, open document below and click on "Move attachment"
pdf
owner:
ronaldokun - (no access) - Entity Embeddings as Categorical Variables , p1
Summary
status | not learned | | measured difficulty | 37% [default] | | last interval [days] | |
---|
repetition number in this series | 0 | | memorised on | | | scheduled repetition | |
---|
scheduled repetition interval | | | last repetition or drill | | | | |
---|
Details
No repetitions