Understanding Perceptron || Lesson 2 || Deep Learning || Learning Monkey ||

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In this class we discuss about understanding Perceptron in neural network.
A Perceptron in neural network acts same as neuron in our central nervous system.
The same way Perceptron have inputs and an output .
The output is based up on input.
Each input is given some weight. The input is multiplied with that weight.
All those values are summed up and the total value is taken as output to the Perceptron.
When we apply loss function on this output obtained by the Perceptron.
The single Perceptron works exactly like logistic regression.
In our next class we discuss how to train a single Perceptron.

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Nice explanation, Please do a video on the Difference between Single perceptron, Single layer perceptron, Multi-layer Perceptron, and CNN Please mention if there are any similarities like ID CNN.(in terms of vector and image)

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Understanding Perceptron || Lesson 2 || Deep Learning || Learning Monkey ||

Understanding Perceptron || Lesson 2 || Deep Learning || Learning Monkey ||

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