MiniDNN is a C++ library that implements a number of popular deep neural network (DNN) models. It has a mini codebase but is fully functional.

TensorFlow is probably the best C++ machine learning library that allows developers to train artificial intelligence to solve different problems.

16 авг. 2024 г. · About: Written in C++, Open Neural Networks (OpenNN) is an open-source neural networks library for advanced analytics. The library contains ...

Build the most powerful models with C++ · OpenNN is an open-source neural networks library for machine learning. It solves many real-world applications in energy ... OpenNN C++ Tutorials · Class List · Company · Legal Notice

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, ...

It treats neural network as a 2D map of nodes, where each node may represent a separate class. The algorithm organizes a network in such a way, that it becomes ...

24 авг. 2017 г. · Your best options are MXNet's C++ API, tiny-dnn for a small, standalone library, dlib for a powerful but kind of ugly metaprogramming based API or Caffe2. What is the most used library for AI in C++ ? : r/cpp_questions Neural nets in production systems : r/cpp - Reddit Другие результаты с сайта www.reddit.com

The C++ Neural Network and Machine Learning project is intended to provide a C++ template library for neural nets and machine learning algorithms within ...

Neural Network Libraries is deep learning framework that is intended to be used for research, development, and production.

25 окт. 2024 г. · In summary, C++ libraries such as TensorFlow, Caffe2, ONNX, and OpenCV provide powerful tools for developing neural networks. Their performance, ...