Advanced Data Structures and Algorithm: Neural Nets for Dummies
<p>Neural Nets sound sexy and interesting. But what are they exactly? How do they achieve their magic and most importantly, can you build one without being an expert data scientist?</p>
<p>In this article I’m going to show you the basics of neural networks and how you can implement one yourself using existing tools.</p>
<p>This is going to be a very practical article, in the end I’ll show you how you can build your own Neural Network to draw a basic ASCII picture in your terminal.</p>
<p>Let’s get down to it!</p>
<h1>Understanding Neural Networks</h1>
<p>Neural networks are a special type of data structure composed of individual elements known as “neurons”. Neurons are grouped in layers and they connect to other neurons from other layers.</p>
<p>One of the most basic neural net structures is the Feedforward neural network, they consist of an input layer, one or more hidden layers, and an output layer, and information flows only in one direction (from the input layer to the output layer).</p>
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