This project aims to make an easy to use and understand neural network system for those starting out in machine learning. I'm also new but I'm using this as an opportunity to learn and grow and help others along the way. This project will be as low level as possible utilizing minimal outside resources. I also plan to create libraries in C for it.
The dream is to eventually have a GUI based program with options for the type of data, such as whether it is sound or photos or videos or data and whether if it's real-time or static, and whether it is "bounded" or "unbounded", essentially if the data type that the final model uses will require a 1:1 ratio of inputs or if it will be able to dynamically adapt to the data, such as a recognition software that will detect multiple objects within a space with bounding boxes in irregular locations, utilizing a higher dimensional method that I have in the works. Stay tuned!
The dream is to eventually have a GUI based program with options for the type of data, such as whether it is sound or photos or videos or data and whether if it's real-time or static, and whether it is "bounded" or "unbounded", essentially if the data type that the final model uses will require a 1:1 ratio of inputs or if it will be able to dynamically adapt to the data, such as a recognition software that will detect multiple objects within a space with bounding boxes in irregular locations, utilizing a higher dimensional method that I have in the works. Stay tuned!