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NN-SVG is a tool for creating publication-ready SVG visualizations of neural network architectures directly in your browser. Easily design and export complex network diagrams for papers, presentations, and documentation.
NN-SVG is an open-source web tool designed to streamline the process of generating professional and accurate diagrams of neural network architectures in SVG format. It provides a visual interface to define layers and connections, producing high-quality vector output suitable for academic papers, technical blogs, and presentations.
Creating clear and accurate diagrams of neural network architectures manually is often tedious and time-consuming, especially for complex models. NN-SVG automates this process, allowing researchers, students, and developers to quickly visualize their network designs.
Generate Scalable Vector Graphics (SVG) output, perfect for high-resolution diagrams in publications and online.
A user-friendly web interface allows intuitive building of network layers and connections.
Supports various common layer types (dense, convolutional, pooling, etc.) with customizable parameters.
NN-SVG is ideal for scenarios requiring clear, high-quality visualizations of neural network designs.
Creating diagrams to include in academic research papers or conference publications to illustrate model architecture.
Provides publication-ready, high-resolution vector graphics that meet formatting requirements.
Generating visuals for educational materials, such as course slides, textbooks, or online tutorials explaining different network types.
Simplifies complex architectures into understandable diagrams for students and learners.
Documenting the architecture of a deployed model or a model being developed for internal documentation or presentations to stakeholders.
Ensures consistent and accurate representation of models across documentation and team communication.
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