Li-TianCheng/TinyDL
基于Eigen运算库的深度学习框架(支持CUDA加速)
This is a foundational deep learning framework built on the Eigen library, with optional CUDA acceleration. It takes raw numerical data and model definitions, then processes them to produce trained machine learning models. This tool is designed for deep learning engineers and researchers who build and experiment with neural networks.
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Use this if you are a deep learning engineer or researcher who needs a flexible, high-performance framework to build and train custom neural network models from scratch.
Not ideal if you are a practitioner looking for a high-level API to quickly apply existing deep learning models, or if you don't have experience with low-level deep learning concepts.
Stars
18
Forks
5
Language
C++
License
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Category
Last pushed
Jan 12, 2022
Commits (30d)
0
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