Machine Learning

A quick and intuitive explanation of gradient descent

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This short writeup is from Udacity’s Deep Learning Nanodegree. Journey to the Bottom of the Valley Here I’ll give you a little refresher on gradient descent so we can start training our network with MiniFlow. Remember that our goal is to make our network output as close as possible to the target values by minimizing … Read more

Linear regression with gradient descent

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This post is based on the linear regression live coding session from Siraj Raval (Udacity). What is Linear Regression? Linear regression is a widely used method to find a predictor variable which describes an outcome variable. In simpler words, it describes the relationship of two value sets. In this example, Siraj shows how to do … Read more