479
edits
Changes
Jump to navigation
Jump to search
no edit summary
|Start Term=Spring 2017,
}}
===Possible Tools===
==SciKit Learn SVM==
http://scikit-learn.org/stable/modules/svm.html#svm
It's complexity is between O(n^2) and O(n^3). Seems easy to use. This is not a neural net; it is a support vector machine.
==SciKit Learn Neural Net==
http://scikit-learn.org/stable/modules/neural_networks_supervised.html
This IS a neural net using back propagation.
It's complexity is listed as: Suppose there are n training samples, m features, k hidden layers, each containing h neurons - for simplicity, and o output neurons. The time complexity of backpropagation is O(n * m * h^k * o * i), where i is the number of iterations. Since backpropagation has a high time complexity, it is advisable to start with smaller number of hidden neurons and few hidden layers for training.
Documentation is provided at:
https://scikit-neuralnetwork.readthedocs.io/en/latest/index.html
