DeepAI.org has a good introduction to the sigmoid function in machine learning. Now take a look at Listing 3, which shows a sigmoid derivative function in Java. We’ve talked about derivatives ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning ... a kind of proportional compression function. The sigmoid function is common.

Consider the simplest case, that of supervised learning, which has been used by companies such as Google, Facebook and Apple to create voice- or image ... unknown functions called sigmoid functions.

But what exactly is deep learning and how does it work? Deep learning is a subset of machine learning which ... can be any non-linear differentiable function like sigmoid, tanh, ReLU, etc.

Google said Navboost is not a machine learning system ... engineers look at data and then take a sigmoid or other function and figure out the threshold to use. So, the "hand crafting" means ...