references.bib

% Bibliography for Machine Learning Template

@inproceedings{he2016deep,
    title={Deep Residual Learning for Image Recognition},
    author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    pages={770--778},
    year={2016}
}

@article{simonyan2014very,
    title={Very Deep Convolutional Networks for Large-Scale Image Recognition},
    author={Simonyan, Karen and Zisserman, Andrew},
    journal={arXiv preprint arXiv:1409.1556},
    year={2014}
}

@book{goodfellow2016deep,
    title={Deep Learning},
    author={Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
    year={2016},
    publisher={MIT Press},
    isbn={978-0262035613}
}

@book{bishop2006pattern,
    title={Pattern Recognition and Machine Learning},
    author={Bishop, Christopher M},
    year={2006},
    publisher={Springer},
    series={Information Science and Statistics},
    isbn={978-0387310732}
}

@book{hastie2009elements,
    title={The Elements of Statistical Learning: Data Mining, Inference, and Prediction},
    author={Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
    year={2009},
    publisher={Springer},
    edition={2nd},
    isbn={978-0387848570}
}

@software{scikit-learn,
    title={Scikit-learn: Machine Learning in Python},
    author={Pedregosa, Fabian and others},
    journal={Journal of Machine Learning Research},
    volume={12},
    pages={2825--2830},
    year={2011}
}

@software{numpy2020,
    title={Array programming with NumPy},
    author={Harris, Charles R and others},
    journal={Nature},
    volume={585},
    pages={357--362},
    year={2020},
    publisher={Nature Publishing Group}
}

@software{matplotlib2007,
    title={Matplotlib: A 2D graphics environment},
    author={Hunter, John D},
    journal={Computing in Science \& Engineering},
    volume={9},
    number={3},
    pages={90--95},
    year={2007},
    publisher={IEEE Computer Society}
}