The Art and Science of Neural Networks: A Guide to Understanding the Inner Workings
A glance at working of Artificial Neural Network
As you know humans have a neuron (also known as a nerve cell) is an electrically excitable cell that takes up, processes, and transmits information through electrical and chemical signals. It is one of the essential components of the nervous system. In order that a human being can react to his environment. Just like a biological neural network, an Artificial Neural Network works the same by
Taking input
Processing it through various hidden layers
Giving a best possible output
The following is a basic representation of a Neural Network.
Now let us consider a problem. Suppose it is a Sunday and want to spend my day either going on a walk or reading my book. If there’s rain outside then I prefer to sit in a comfy chair and finish my book, but if it’s a good sunny day then I’ll prefer to go out for a walk.
Here I am representing my choices in vector.
If you know the multiplication of the matrix then, the result will look like following
If it is raining, reading a book is an output.
If it is raining, reading a book is an output.
In this behind the scene, we feed input to the first layer.
The vector values are goes in the first layer.
These values are later multiplied by each edge value and addition is performed.
This will result in output as a vector of either walk or rain.
In the above example output will be to go on a Walk.
This is a representation of a simple neural network at a basic level. If a machine learning model uses a neural network then it comes under the Deep Learning model.
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