The current release of Adobe After Effects remains November 2025 (25.6), which includes new features and workflow ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...

Training very deep neural networks requires a lot of memory. Using the tools in this package, developed jointly by Tim Salimans and Yaroslav Bulatov, you can trade off some of this memory usage with ...

SVGD is a general purpose variational inference algorithm that forms a natural counterpart of gradient descent for optimization. SVGD iteratively transports a set of particles to match with the target ...

Abstract: Deep neural networks often suffer from poor performance or even training failure due to the ill-conditioned problem, the vanishing/exploding gradient problem, and the saddle point problem.

This is a curated guide to the 5 Adobe Illustrator plugins that genuinely provide a return on investment for entrepreneurs and designers. Find out which tools actually solve problems and are worth ...