The efficiency of how quickly you can get a ML system to work well will depend on a large part on how well you can repeatedly make good...

Advanced Optimization Gradient descent is an optimization algorithm that's widely used in Machine Learning and was the foundation of many...

In order to build a neural network that can carry out multi-class classification, we are going to take the softmax regression model and...

Multi-class Multi-class classification refers to classification problems where you can have more than just 2 possible output labels, so...

Alternatives to the Sigmoid Function So far, we have been using the sigmoid function in all the nodes in the hidden layers, but out...