Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.

Using weights to account for imbalanced data

Applying more weight on the lesser present (Imbalanced) data.

Comparing Keras activation functions

What is the effect of different activation functions on training?

Linear regression with MXNet

Linear regression on the basis of MXNet.

TensorFlow hello world

Just a handful of lines to get an idea what TensorFlow looks like.

Pytorch hello world

Simple Pytorch example with some thoughts on Pytorch versus TensorFlow.

Keras hello world

Keras hello world example.

Gluon hello world

A simple five-lines example of how to use MXNet's Gluon interface.

TensorFlow.js function learning

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Learning a function in the browser with TensorFlow.js.

A first look at Pyro

Pyro.ai feels like the most natural and easy to use PPL around.