We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

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 ...

When we discuss neural networks, this is always the hitch. In a broad sense, there is no problem solvable with a neural network that isn’t solvable using traditional techniques.

Neural networks have become a hot topic over the last decade, put to work on jobs from recognizing image content to generating text and even playing video games. However, these artificial neural ne… ...

We’ve been wasting our processing power to train neural networks that are ten times too big.

When it comes to audience building, there are multiple advantages to using neural networks.

Building chips with analogs of biological neurons and dendrites and neural networks like our brains is also key to the massive efficiency gains Rain Neuromorphics is claiming: 1,000 times more ...

Two prominent artificial intelligence researchers have launched a startup, Sakana AI, that aims to build a new kind of nature-inspired neural network. The Financial Times reported the startup’s ...

Liquid AI Inc., a startup developing artificial intelligence models based on a so-called liquid neural network design, today announced that it has raised $37.6 million in seed funding. OSS Capital ...