This document contains links to various resources about Voronoi diagrams, Delaunay triangulations, and Fortune's algorithm including Wikipedia pages, YouTube videos, and online tutorials. It provides references for learning about patterns in computer animation, algorithms for constructing Voronoi diagrams and Delaunay triangulations, and the relationship between these geometric structures.
The document discusses Assembly Definition (asmdef) files in Unity. It begins by explaining that asmdef files are used to define Assembly configurations in a project. It notes some key points about asmdef files, including that they allow defining assemblies that can be referenced from other parts of a project. It also discusses different ways asmdef files can be structured, such as having one per script folder, one per assembly, or splitting assemblies for editor/playmode tests. Overall, the document provides an overview of what asmdef files are used for and important considerations around their usage and configuration in Unity projects.
This document contains links to various resources about Voronoi diagrams, Delaunay triangulations, and Fortune's algorithm including Wikipedia pages, YouTube videos, and online tutorials. It provides references for learning about patterns in computer animation, algorithms for constructing Voronoi diagrams and Delaunay triangulations, and the relationship between these geometric structures.
The document discusses Assembly Definition (asmdef) files in Unity. It begins by explaining that asmdef files are used to define Assembly configurations in a project. It notes some key points about asmdef files, including that they allow defining assemblies that can be referenced from other parts of a project. It also discusses different ways asmdef files can be structured, such as having one per script folder, one per assembly, or splitting assemblies for editor/playmode tests. Overall, the document provides an overview of what asmdef files are used for and important considerations around their usage and configuration in Unity projects.
The document outlines the steps for conducting a deep learning experiment in Korean. It introduces the speaker and their background in artificial intelligence and natural language processing. It then lists the steps, which include understanding neural networks, deep neural networks with techniques like pretraining, rectified linear units and dropout, using the Theano library, writing deep learning code with Theano, and applying deep learning to natural language processing with libraries like Gensim. It also discusses recent interest in deep learning and example applications.
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