Dontopedia

Weight Initialization

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Weight Initialization has 9 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

9 facts·6 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), affects(1), quality(1)

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instanceOfInstance of(2)

purposePurpose(1)

Other facts (7)

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typebeam/1a9575d4-0f05-41b2-a8bf-3a9f1dd9dcb9
ex:ModelSetupStep
labelbeam/1a9575d4-0f05-41b2-a8bf-3a9f1dd9dcb9
Weight Initialization
typebeam/84937814-75c0-41f5-bd9a-47ad00466cfc
ex:TrainingTechnique
labelbeam/84937814-75c0-41f5-bd9a-47ad00466cfc
Weight Initialization
affectsbeam/84937814-75c0-41f5-bd9a-47ad00466cfc
ex:convergence
qualitybeam/84937814-75c0-41f5-bd9a-47ad00466cfc
ex:proper-initialization
impactbeam/84937814-75c0-41f5-bd9a-47ad00466cfc
ex:significant-impact
relatedTobeam/84937814-75c0-41f5-bd9a-47ad00466cfc
ex:convergence
categorybeam/84937814-75c0-41f5-bd9a-47ad00466cfc
ex:initialization-method

References (2)

2 references
  1. ctx:claims/beam/1a9575d4-0f05-41b2-a8bf-3a9f1dd9dcb9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1a9575d4-0f05-41b2-a8bf-3a9f1dd9dcb9
      Show excerpt
      - **Description**: Coefficient for L2 norm of the weights. - **Range**: Typically between \(10^{-6}\) and \(10^{-2}\). - **Example Values**: \(1e-6\), \(1e-5\), \(1e-4\), \(1e-3\), \(1e-2\). - **Dropout Rate** - **De
  2. ctx:claims/beam/84937814-75c0-41f5-bd9a-47ad00466cfc
    • full textbeam-chunk
      text/plain1 KBdoc:beam/84937814-75c0-41f5-bd9a-47ad00466cfc
      Show excerpt
      - **Batch Size**: Experiment with different batch sizes. Smaller batches can sometimes help with convergence, especially in deep learning models. - **Number of Epochs**: Increase the number of epochs to allow the model more time to co

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