If your case needs generative capabilities then most likely you need deep learning. Before debating model performance metrics, it's crucial to clearly define your project's goals. Understand what ...

When discussing model performance metrics in machine learning ... Once you understand that and you are ready to use your deep learning skills it would be good to think if you really need deep ...

The study demonstrates how generative deep learning, when combined with structural prediction and affinity modeling, can ...

The study outlines two training-time attack scenarios - dirty-label and clean-label poisoning - both executed using invisible ...

the researchers identified a model that, when coupled with appropriate data augmentation and optimization partner, may help aid in the detection of skin cancer. Using an accessible deep learning ...

With 98.4% accuracy in melanoma detection, SkinEHDLF demonstrates the potential of hybrid deep learning models in ...

In today’s digital transformation era, software testing is undergoing a pivotal evolution. Ajay Seelamneni, a researcher and innovator in automated testing, delves into the transformative capabilities ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...