christopher-besch/neural_network
Experimental C++ Deep-Learning Framework.
This is an experimental deep-learning framework built in C++. It allows developers to explore different neural network architectures and deep learning concepts. It takes in various datasets for training and outputs trained models that can perform tasks like classification or prediction. It is designed for software developers or researchers who are experimenting with or building deep learning systems from scratch.
No commits in the last 6 months.
Use this if you are a C++ developer interested in the foundational implementation of neural networks and deep learning algorithms.
Not ideal if you need a high-level, production-ready deep learning library for immediate application development.
Stars
9
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Language
C++
License
MIT
Category
Last pushed
Sep 11, 2021
Commits (30d)
0
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