Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
How a NPU programming model can boost the ability to port new models onto state-of-the-art embedded silicon.
Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...
A beginner’s guide Looking to start your journey into the exciting world of artificial intelligence? Learn the fundamentals of AI … ...
Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
The platform that makes advanced data science accessible with Graph Neural Networks and Predictive Query Language.
Abstract: Uncrewed aerial vehicles (UAVs) are susceptible to malfunctions caused by environmental and human factors. Anomaly detection is a critical technique for ensuring the safe operation of UAVs.
When building an app with cached_network_image (latest version) and uploading to Google Play, several prebuilt .so libraries are flagged as not aligned with the 16KB page size requirement (mandatory ...