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Machine learning is a vast and exiciting discipline, garnering attention from specialists of many fields. Unfortunately, for C++ programmers and enthusiasts, there appears to be a lack of support in the field of machine learning. To fill that void and give C++ a true foothold in the ML sphere, this library was written. The intent with this library is for it to act as a crossroad between low-level developers and machine learning engineers. ML++, like most frameworks, is dynamic, and constantly changing. This is especially important in the world of ML, as new algorithms and techniques are being developed day by day. Here are a couple of things currently being developed for ML++. Call the optimizer that you would like to use. For iterative optimizers such as gradient descent, include the learning rate, epoch number, and whether or not to utilize the UI panel.
Features
- Begin by downloading the header files for the ML++ library
- Clon the repository and extract the MLPP directory
- Crossroad between low-level developers and machine learning engineers
- A library created to revitalize C++ as a machine learning front end
- Deep, Dynamically Sized Neural Networks
- Possible Optimization Algorithms
Project Samples
