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What is Understanding Deep Learning Concepts about?
A single neuron, or perceptron, performs a weighted sum of its input values plus a bias term, and applies an activation function to output a value, representing different functions depending on the choice of activation. It is the basic computational unit of neural networks, with the input features represented by nodes connecting to weights that feed into the output neuron. Adding a constant input node allows the bias term to be absorbed into the weight vector for a graphical representation of the computatio
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- mdsahadathossain456
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- EN