News

Frontiers2d
Machine Learning for Large-Scale Data Processing: Algorithms and Applications
In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...
EurekAlert!2d
Faster, smarter, more open: a new way to accelerate AI models
Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance. This week, at the International ...
AHA/ASA Journals2d
The Promise and Peril of Learning Algorithms and Predictive Models in Clinical Decision Support: Be Careful What You Train For
The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...
GitHub5y
Machine_Learning_Articles/how-to-use-l1-l2-and-elastic-net ...
Example code: L1, L2 and Elastic Net Regularization with TensorFlow 2.0 and Keras With these code examples, you can immediately apply L1, L2 and Elastic Net Regularization to your TensorFlow or Keras ...
GitHub5y
machine-learning-articles/how-to-use-l1-l2-and-elastic-net ...
Regularizers, or ways to reduce the complexity of your machine learning models - can help you to get models that generalize to new, unseen data better. L1, L2 and Elastic Net regularizers are the ones ...