GitHub - hwixley/MLP-coursework1-report: Machine Learning Practical - Coursework 1 Report: a study of the problem of overfitting in deep neural networks, how it can be detected, and prevented using the EMNIST dataset. This was done by performing experiments with depth and width, dropout, L1 & L2 regularization, and Maxout networks.

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Machine Learning Practical - Coursework 1 Report: a study of the problem of overfitting in deep neural networks, how it can be detected, and prevented using the EMNIST dataset. This was done by performing experiments with depth and width, dropout, L1 & L2 regularization, and Maxout networks.

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additional-latex-files		additional-latex-files
figures		figures
README.txt		README.txt
icml2017.bst		icml2017.bst
mlp-cw1-questions.tex		mlp-cw1-questions.tex
mlp-cw1-template.pdf		mlp-cw1-template.pdf
mlp-cw1-template.tex		mlp-cw1-template.tex
mlp2021.sty		mlp2021.sty
mlp2021_includes.tex		mlp2021_includes.tex
refs.bib		refs.bib

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Most reasonable LaTeX distributions should have no problem building the document from what is in the provided LaTeX source directory.  However certain LaTeX distributions are missing certain files, and the they are included in this directory.  If you get an error message when you build the LaTeX document saying one of these files is missing, then move the relevant file into your latex source directory.