MLPP/README.md

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# ML++
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 for this magnificient language in the field of machine learning. As a consequence, this library was created in order to fill that void and give C++ a true foothold in the ML sphere to act as a crossroad between low level developers and machine learning engineers.
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<p align="center">
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<img src="https://user-images.githubusercontent.com/78002988/119920911-f3338d00-bf21-11eb-89b3-c84bf7c9f4ac.gif"
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width = 600 height = 400>
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</p>
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## Contents of the Library
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1. ***Regression***
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1. Linear Regression
2. Logistic Regression
3. Softmax Regression
4. Exponential Regression
5. Probit Regression
6. CLogLog Regression
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2. ***Deep, Dynamically Size Neural Networks***
1. Possible Loss Functions
- MSE
- RMSE
- MAE
- MBE
- Log Loss
- Cross Entropy
- Hinge Loss