Finding function minimum using Gradient Descent Method
Gradient descent method - iterative method for finding function extremeі(minimum or maximum) https://hackernoon.com/gradient-descent-aynk-7cbe95a778da
Code requirments
Python 3.6. All necessary dependencies noted in file requirements.txt
Description
Jupyter demo https://github.com/SergiySobolev/gradient_descent/blob/master/demo/Gradient%20descent%20for%20single%20variable%20function%20demo.ipynb shows how algorithm iteratively found point close enough to function minimum.
How close it will be can be configired by passing tolerance parameter to gradient_descent_single_variable
Convergence speed can be regulated by learning_rate parameter also passed to gradient_descent_single_variable. Beware that passing to large learning_rate parameter can prevent algorithm converging