## Classify Handwritten Digits using Neural Networks

Classify Handwritten Digits using Neural Networks and Python. Here, you’ll learn to build an ANN and CNN to classify Handwritten Digits with 98% Accuracy.

Classify Handwritten Digits using Neural Networks and Python. Here, you’ll learn to build an ANN and CNN to classify Handwritten Digits with 98% Accuracy.

How to implement AND function using McCulloch Pitts Neuron? It is easy to implement. In AND function the output will be High if both the inputs are high.

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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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.

Simple Linear Regression is a statistical regression model that allows us to find a relationship between a Responsive variable and one Explanatory variable.

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What is Machine Learning? There’s a lot same kind of definition. Let me describe it in the simplest way. It is a learning technique for Machine.

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.

There are many Important Terms in Machine Learning, learn them on by one. Without knowing these thing you know nothing about Machine Learning.