Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets

18 May 2020Shailesh SridharSnehanshu SahaAzhar ShaikhRahul YedidaSriparna Saha

Rigorous mathematical investigation of learning rates used in back-propagation in shallow neural networks has become a necessity. This is because experimental evidence needs to be endorsed by a theoretical background... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet