(Note: the SphereFace implementation is not exactly as described in their paper but instead uses the 'trick' presented in the ArcFace paper to use arccosine instead of the double angle formula) There ...

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...

This project was inspired by Y. Tang's Deep Learning using Linear Support Vector Machines (2013). The full paper on this project may be read at arXiv.org. The experiments were conducted on a laptop ...

Abstract: The Softmax function holds an essential role in most machine learning algorithms. Conventional realization of Softmax necessitates computationally intensive exponential operations and ...

Support Vector Machine and Softmax are two widely used linear classifiers in computer vision. Especially in the field of deep learning algorithms, the application of these two classifiers is more ...

A final implementation of our approach on a system of noninteracting spinless fermions subject to a quasi-periodic potential 24 demonstrates that neural networks can distinguish metallic from Anderson ...