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GitHub7y
ml2cpp : Machine Learning Models Deployment using C++ Code Generation - GitHub
It is generated such that any C++ code can integrate it without specific change (the model code is a namespace). To summarize, ml2cpp is for a CPU what sklearn2sql is for a database and supports the ...
GitHub4y
GitHub - PacktPublishing/Hands-On-Machine-Learning-with-CPP: Hands-On Machine Learning with C++, published by Packt
This book will help you explore how to implement different well-known machine learning algorithms with various C++ frameworks and libraries. You will cover basic to advanced machine learning concepts ...
IEEE1mon
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines | Packt Publishing books - IEEE Xplore
Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasets. Key Features.
LinkedIn1y
Tips to Write Efficient Code for Machine Learning - LinkedIn
Learn how to write fast, memory-efficient, and reliable code for machine learning projects. Choose the right tools, follow coding standards, optimize your code, learn from others, and keep learning.
Investopedia3y
Understanding Machine Learning: Uses, Example - Investopedia
Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.
IEEE2mon
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines | Packt Publishing eBooks - IEEE Xplore
Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasets. Key Features.