Let’s Crack Neural Network
I think in this century all the word like Artificial Intelligence, Machine learning, Deep learning is so fascinating and popular that every one talking about. But I think you all are aware about that the basic of all this is Neural network and it’s base is Neurons.
No No No, I am not talking about your brain neurons , it’s artificial Neuron work like your biological neurons not both are same but we can actually relate both.
What is Neural Network ?
Neural Network is if you might have guess it is an interconnection of neurons or in modern world called Artificial neurons connected to each other and use to solve artificial problem.
First Neural Network
First Neural network discovered by two scientist named Warren McCulloch and Walter Pitts in 1943. So that’s why that neural network is called McCulloch-Pitts Neuron.
Let’s begin with A single Neural Network or so called A Preceptron .
Here We have some term in the neural network let’s crack it one by one.
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Input :
Input in terms of like one hot coding which convert statements into 10100010 form.
Weights:
This are some integer value which are multiplied with the inputs.
Non-linear function : ( Activation function )
This is something we must use while programming our model because this will bound our output.
Example of Non-Linear Function :
If your problem output is between 0 and 1 means binary then you activation function will be sigmoid function.
To be continue ..
