{"id":221,"date":"2018-04-09T20:36:09","date_gmt":"2018-04-10T02:36:09","guid":{"rendered":"http:\/\/jacobncalvert.com\/?p=221"},"modified":"2018-04-09T20:36:09","modified_gmt":"2018-04-10T02:36:09","slug":"neural-networks-and-how-they-work","status":"publish","type":"post","link":"https:\/\/jacobncalvert.com\/blog-archive\/2018\/04\/09\/neural-networks-and-how-they-work\/","title":{"rendered":"Neural Networks and How They Work"},"content":{"rendered":"

AI or Artificial Intelligence has been making headlines the world over the past few months. It’s time we all learn a little about how AI began and what role neural networks plays.<\/p>\n

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Artificial intelligence, also sometimes referred to as machine intelligence (MI), is a burgeoning field of Computer Science which has ties to many, many other fields. AI is the application of neural networks in various forms to allow a machine to imitate or give the impression of natural cognition. This is quite a feat since it is not only a field which brings about great opportunity, but it is also a field which brings about great moral and ethical dilemmas, the least of which is the application of Rene Descartes’\u00a0“Cogito ergo sum”<\/em> reasoning. The underpinning of AI however, is a set of mathematical beginnings that start with the humble neural network. I am not well educated on the ins-and-outs of neural network methodologies and the math behind it, but I have found the following videos from\u00a03Blue1Brown<\/em> incredibly helpful for boosting my understanding of the basics of neural networks.<\/p>\n

Also check out the Tiny Neural Network library on GitHub from\u00a0glouw<\/em>.<\/a> It’s a 200-line dependency free neural network that is easy enough to understand and play with on your own.<\/p>\n

Thanks for reading!<\/p>\n