Viewing posts for the category Omarine User's Manual
Machine learning techniques may sound superior, but its application is very practical in life. So big tech corporations like IBM and Google have invested a lot of money and used their cloud to trade in machine learning services. Applications can be at national level such as wildfire disaster analysis, weather forecast; average as supporting decision making; small as predicting housing prices and income.
We use FPP for a simple and familiar problem, enough to illustrate how to use it. That is the Tennis problem.
1) Extracting fpp-4.0.2.tar.xz
After downloading fpp-4.0.2.tar.xz, you create a folder called fpp, place the file there, change to the directory and extract the file as follows:
We do experiments to compare TensorFlow - A popular machine learning program that trains networks based on loss functions, and FPP - Network training based on genetic algorithms.
d (f (Pu), f (Pv)) ≤ qd (Pv, Pu)
the coefficient q is called the Lipschitz constant. It determines the convergence speed of the contraction mapping
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