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what are neural networks?-an introduction to machine learning algorithms
a neural network is very important in the field of deep learning in this article I will introducing you to it and tell you how they work
What is a Neural Network?
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. neural networks refer to systems of neurons.
the neural network is also a set of organized neurons .these neural networks have many layers between the input and output layers which and the layers between them is hidden.
what is a neuron?
a neuron is a mathematical function each neuron take an input and process the particular information and returns output in the future article I will also tell you how the function works
where x1,x2,x3 are input and w1,w2,w3 are their weights and we club them to into a neuron and y is the output given by the neuron
its main application is used in image classification, computer vision, text recognization, and speech recognition
as I have told you it works like a human brain
so I would tell you how it works by taking a basic example which is a digit recogniser
first of all, we train a neural network and then we give it a test to predict numbers so basically in the test data set it to make patterns and combine them after that model trains now it’s ready to predict the handwritten digit
don’t worry I would be making a digit recognizer model in near future for you which will predict digits for you
as in this article, I have introduced you to neural networks and very soon I will be bringing a working project for you
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