Search results
Results from the WOW.Com Content Network
Pages in category "Data Design Interactive games" The following 20 pages are in this category, out of 20 total. This list may not reflect recent changes. A.
Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [4] At that time, the results were limited to a few video games, namely Battlefield V, [5] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.
This online data science training features 55 hours of content on Excel, VBA, Python, Machine Learning, and so much more. There's 13 courses total, and by the end, you'll know a thing or two about ...
Decima is a proprietary game engine made by Guerrilla Games and released in November 2013, that includes tools and features like artificial intelligence and game physics.It is compatible with 4K resolution and high-dynamic-range imaging, used for games on PlayStation 4, PlayStation 5, Microsoft Windows, macOS, iOS, iPadOS and Xbox Series X/S.
Deep Learning Anti-Aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to Deep Learning Super Sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...
Other games procedurally generate other aspects of gameplay, such as the weapons in Borderlands which have randomized stats and configurations. [3] This is a list of video games that use procedural generation as a core aspect of gameplay. Games that use procedural generation solely during development as part of asset creation are not included.
This is a list of notable open-source video games. Open-source video games are assembled from and are themselves open-source software, including public domain games with public domain source code. This list also includes games in which the engine is open-source but other data (such as art and music) is under a more restrictive license.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]