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Neural Networks

Neural Networks 

How to Implement AND Function using McCulloch Pitts Neuron?

May 11, 2020 Sayan De All, AND Function, Machine Learning, McCulloch Pitts Neuron, Neural Network

Implement AND function using McCulloch Pitts Neuron. In the AND function the output will be High if both the inputs are high.

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Neural Networks 

What is Activation Function in Neural Networks?

April 25, 2020 Sayan De Activation Functions, All, Deep Learning, Neural Network

Activation function in Neural Networks plays a major role. It decides a neuron will fire or not with the help of the Threshold value.

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Neural Networks 

What is Bias in Artificial Neural Networks?

February 22, 2020 Sayan De All, Bias, Machine Learning, Neural Network

The Bias included in the network has its impact on calculating the net input. The bias is included by adding a value X0=1 to the input vector X. Hence W0=b.

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Neural Networks 

What is Artificial Neural Networks(ANN)?

August 27, 2019 Sayan De All, Machine Learning, Neural Networks

An Artificial Neural Network (ANN) is a computational model based on the structure and functions of a biological neural network. ANN is a core part of Deep Learning.

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Neural Networks 

What is Perceptron Learning Algorithm in Neural Networks

October 24, 2018 Sayan De All, Machine Learning, Neural Network

Perceptron Learning Algorithm is an algorithm or a way to train the weights of the Perceptron. This was proposed by Minsky and Papert in 1969.

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Neural Networks 

What is Perceptron in Neural Networks

October 9, 2018 Sayan De All, Machine Learning, Neural Network, Perceptron

Perceptron is more general computational model than McCulloch Pitts Neuron. It has Numerical Weights for inputs and a mechanism for learning these Weights.

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Neural Networks 

Mcculloch Pitts Neuron Explanation – Simplest Way

October 6, 2018 Sayan De All, McCulloch Pitts Neuron, Neural Network

Mcculloch Pitts Neuron can be used to represent Boolean functions which are linearly separable. This is the First Artificial Neural Model in A.I.

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