dct:relation |
http://data.wordlift.io/wl0216/entity/natural_language_processing
|
dct:relation |
http://data.wordlift.io/wl0216/entity/artificial_intelligence
|
dct:relation |
http://data.wordlift.io/wl0216/entity/machine_learning
|
dct:relation |
http://data.wordlift.io/wl0216/entity/deep_learning
|
schema:alternateName |
"Embeddings"^^xsd:string
|
schema:alternateName |
"graph embeddings"^^xsd:string
|
schema:alternateName |
"embeddings"^^xsd:string
|
schema:alternateName |
"Graph embeddings"^^xsd:string
|
schema:alternateName |
"word embeddings"^^xsd:string
|
schema:description |
"In natural language processing the goal is to have machines understand human language. Unfortunately, machine learning and deep learning algorithms only work with numbers so how can we convert the meaning of a word to a number? This is what embeddings are for. Teaching language to computers by translating meanings into mathematical vectors (series of..."^^xsd:string
|
schema:image |
http://data.wordlift.io/wl0216/entity/what_are_embeddings_/LTU2NjU3NDc4NDA3NDcyNjg4ODA
|
schema:image |
http://data.wordlift.io/wl0216/entity/what_are_embeddings_/Nzk4NjY0OTA0Mjc3NDk4OTMxMg
|
schema:image |
http://data.wordlift.io/wl0216/entity/what_are_embeddings_/LTkxMTE4NTM5NDIzMDk1Nzg5NDQ
|
schema:image |
http://data.wordlift.io/wl0216/entity/what_are_embeddings_/MjQyMzkzNjgyODc0MDg5NzQwOA
|
schema:image |
http://data.wordlift.io/wl0216/entity/what_are_embeddings_/LTYyOTE3Mzk2ODM0NjEwNjU3Ng
|
schema:mainEntityOfPage |
https://wordlift.io/blog/en/entity/what-are-embeddings/
|
schema:name |
"What are embeddings?"^^xsd:string
|
schema:url |
https://wordlift.io/blog/en/entity/what-are-embeddings/
|
rdf:type |
schema:Thing
|