Neural networks are the algorithmic foundation of AI. A few days ago, I read an article on the American popular science website Quanta Magazine, which used a simple example and illustrations to ...

Normalizing Numeric Data There are two neural network numeric data cases: independent (x) numeric data and dependent (y) numeric data. An example of independent numeric data values are the ages (54, ...

Neural networks need lots of data: Unlike the human brain, which can learn to do things with very few examples, neural networks need thousands and millions of examples.

Establishing what happens inside the “brain” of a neural network has been an ongoing research aim for Google over the past few years. The company first described the internal workings of ...

Google spent years building Shazam-style functionality into the Pixel's operating system. It may be where smartphones are heading.

In many scenarios, using L1 regularization drives some neural network weights to 0, leading to a sparse network. Using L2 regularization often drives all weights to small values, but few weights ...