#feature-extraction

[ follow ]
#deep-learning #cochlea #nonlinear-preprocessing #auditory-encoding #convolutional-neural-networks
Science
fromNature
2 weeks ago

Analogue speech recognition based on physical computing - Nature

Cochlear nonlinear preprocessing decomposes sound, produces distortion products, and enables low-power, real-time encoding that enhances sensitivity, selectivity, and reduces data for neural processing.
Artificial intelligence
fromHackernoon
3 months 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
3 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
4 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
[ Load more ]