Embedding Constructor
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Embedding Constructor has 4 facts recorded in Dontopedia across 1 reference.
Mostly:rdf:type(1), parameters(1), accepts parameter(1)
Maturity scale
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Keras Layer Constructor | [1] |
| Parameters | input_dim, output_dim, weights, trainable | [1] |
| Accepts Parameter | input_dim | [1] |
| Returns | Embeddings Variable | [1] |
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References (1)
ctx:claims/beam/3ff1a9e6-a583-4081-bf29-33076a9b4f00- full textbeam-chunktext/plain1 KB
doc:beam/3ff1a9e6-a583-4081-bf29-33076a9b4f00Show 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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