Neural networks have demonstrated their power over the last few years, creating major breakthroughs in computer vision, speech recognition, bioinfomatics, and many other problem spaces.
Although training a neural network requires massive amounts of data, once the network is trained, the code required to run the network function is quite small. For simple feed-forward neural networks, these functions can even be run right in the web browser.
Note: Source code for the following demo will be available at this GitHub repository.
As with everything on the web, there are many options when looking for a library to help you train…
Satori is the owner of Preese Interactive Media. He consults on game development, web applications, neural networks and industrial AI.