#67 Machine Learning & Data Science Challenge 67
Greetings.
I am a machine learning engineer based in India, possessing a sustained interest in machine learning since my undergraduate studies. I have completed Stanford University's machine learning course (Andrew Ng) via Coursera, and IBM's machine learning and deep learning curriculum. My current focus is on machine learning and data science projects, aiming to leverage my expertise for impactful, real-world problem-solving.
What is the learning Rate?
The learning rate controls how much we should adjust the weights concerning the loss gradient. Learning rates are randomly initialized.
Lower the values of the learning rate slower will be the convergence to global minima.
Higher values for the learning rate will not allow the gradient descent to converge.
Since our goal is to minimize the function cost to find the optimized value for weights, we run multiples iteration with different weights and calculate the cost to arrive at a minimum cost.
