overfitting

Here are 3 public repositories matching this topic...

fau-masters-collected-works-cgarbin / dropout-vs-batch-normalization

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

python deep-learning neural-network tensorflow keras cnn hyperparameters dropout mnist batch-normalization sgd mlp rmsprop overfitting

Updated Dec 19, 2022
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RamiroCope / OptimizationandDataFitting

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Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.

least-squares autocorrelation optimization-algorithms quadratic-programming data-fitting newtons-method nonlinear-optimization-algorithms gauss-newton-method unconstrained-optimization overfitting quadporg

Updated Jun 27, 2017
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hwixley / MLP-coursework1-report

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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.

dropout l2-regularization maxout-networks emnist overfitting l1-regularization

Updated Nov 12, 2021
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