Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

Calling the model on the input returns a 2-dimensional tensor with dim=0 corresponding to each output of 10 raw predicted values for each class, and dim=1 corresponding to the individual values of ...

NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from ...

Abstract: This research introduces a sophisticated target recognition approach, leveraging deformable convolutional neural networks, to mitigate the adverse effects of background clutter in synthetic ...

Abstract: Graph Neural Networks (GNNs) are widely used across fields, with inductive learning replacing transductive learning as the mainstream training paradigm due to its superior memory efficiency, ...