#feature-extraction

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Artificial intelligence
fromHackernoon
1 month ago

Keep the Channel, Change the Filter: A Smarter Way to Fine-Tune AI Models | HackerNoon

Decomposing convolution filters into filter atoms and coefficients enables new model tuning methods without generating intermediate features.
Bootstrapping
fromHackernoon
2 months ago

Build Smarter Models with Keras Functional API | HackerNoon

The functional API facilitates the use of shared layers, enabling efficient model training by reusing layer instances.
fromMedium
3 months ago

Scala #15: Spark: Text Feature Transformers

Tokenization is a crucial step in natural language data processing, enabling the breakdown of sentences into individual tokens essential for machine learning applications.
Scala
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