Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.
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Updated
Nov 24, 2016 - MATLAB
Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
A multiprocess MATLAB toolbox for parallel hyperparamater tuning for Machine Learning applications
Matlab code for hyperparameter optimization of SVM using Haris Hawks Algorithm
This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.
Comparison of machine learning models for prediction of diabetes.
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
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