Hyperparameter Summary for a BiLSTM-CNN Hybrid Neural Network Module

A 5.5 KB Excel file summarizing hyperparameters for a BiLSTM-CNN hybrid module, authored by Sunil Kumar Sharma. The dataset was last updated on April 13, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Compare hyperparameter configurations for BiLSTM-CNN models based on the summary.
• Inform the design of new hybrid architectures based on documented hyperparameter choices.
• Benchmark model performance against established hyperparameter sets.

Strengths

• File size is precisely 5.5 KB, indicating a concise summary.
• License is clearly specified as CC-BY-4.0, permitting reuse with attribution.
• Last update date is explicitly provided as 2026-04-13.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Sunil Kumar Sharma via figshare

Collection Method

Likely compiled from experiments or literature on the BiLSTM-CNN hybrid module.

Time Range

Publication date suggests coverage up to 2026.

Freshness

Last updated 2026-04-13 17:44:04; freshness should be verified.

Geography

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