Introduction to Neural Networks

Introduction to Neural Networks

Welcome to NeeshAi!!

The history of Neural Networks

You saw the title of the blog and probably you might be eager to jump right into Backpropagation, Gradient Descent, or application to datasets in practice and what not. But before we get there, don’t you think it’s a good idea to see how Neural Nets originated in the first place because as they say don’t become a mere recorder of facts, but try to penetrate the mystery of their origin.

History of Neural Network goes back to as early as 1943. McCulloch and Pitts (1943) introduced the concept of Artificial Neuron based on their understanding of neurology. It was an extremely simple artificial neuron. The output of this model was either a zero or a one. Here is a simple model proposed by them.

When it comes to blogs, you want to make sure that you’re not too general in your body copy. If you’re thinking about a content marketing strategy, the better you tailor your content to your audience, the better engagement you will get. Having a niche helps, because that way you can really narrow down your content.

How you’re marketing your blog is another thing that’s important to remember when you’re starting out with your blog. While it takes a while to start dominating the search engines and search results, introducing a mailing list to announce the newest blog post is a great idea to drive traffic to your website and blog.

To read the remaining full blog, please visit here : https://medium.com/@neeshai/introduction-to-neural-networks-488f13ee551b