Descent is well.. descent ..on the gradient. That is to reach the highest (or lowest?) density in gradual steps.
The task of Gradient Descent algorithm is to find t0 and t1 such that y = t0 + (t1 * x)For more, go here Gradient Descent
Input Process |
Gradient Descent |
if x is input ,
then
output y= 3x
This is learnt by the algorithm through the input training data.
Regression on new input |
The machine learns that the output needs to be 3 times that of input just by learning from data.
Well documented Code is on GitHub
Due to limited buffer space, all iterations with their respective parameters are logged into a data file.Here is the data file for the above set:
Everything done in Visual Studio 2010
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