Dontopedia

Embedding Constructor

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Embedding Constructor has 4 facts recorded in Dontopedia across 1 reference.

4 facts·4 predicates·1 sources

Mostly:rdf:type(1), parameters(1), accepts parameter(1)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (4)

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4 facts
PredicateValueRef
Rdf:typeKeras Layer Constructor[1]
Parametersinput_dim, output_dim, weights, trainable[1]
Accepts Parameterinput_dim[1]
ReturnsEmbeddings Variable[1]

Timeline

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typebeam/3ff1a9e6-a583-4081-bf29-33076a9b4f00
ex:KerasLayerConstructor
parametersbeam/3ff1a9e6-a583-4081-bf29-33076a9b4f00
input_dim, output_dim, weights, trainable
acceptsParameterbeam/3ff1a9e6-a583-4081-bf29-33076a9b4f00
input_dim
returnsbeam/3ff1a9e6-a583-4081-bf29-33076a9b4f00
ex:embeddings-variable

References (1)

1 references
  1. ctx:claims/beam/3ff1a9e6-a583-4081-bf29-33076a9b4f00
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3ff1a9e6-a583-4081-bf29-33076a9b4f00
      Show excerpt
      # Strategy 5: Custom embeddings (using a custom embedding matrix) custom_matrix = np.random.rand(1000, 128) embeddings = Embedding(input_dim=1000, output_dim=128, weights=[custom_matrix], trainable=True)(input_ids)

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