Implement Gradient Descent

Gradient Descent with Squared Errors We want to find the weights for our neural networks. Let’s start by thinking about the goal. The network needs to make predictions as close as possible to the real values. To measure this, we use a metric of how wrong the predictions are, the error. Read more…

Introduction to Deep Learning

What is a neural network? The term, Deep Learning, refers to training Neural Networks, sometimes very large Neural Networks. So what exactly is a Neural Network? In this video, let’s try to give you some of the basic intuitions. Let’s start to the Housing Price Prediction example. Let’s say you have a data sets Read more…