List the steps to implement a gradient descent algorithm

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Question - List the steps to implement a gradient descent algorithm.

Answer -

The first step is to initialize random weight and bias.
Get values from the output layer by passing the input through the neural network.
Determine the error between the actual and predicted value.
Based on the neurons that contribute to the error, modify the values to minimize the error.
Repeat the process until the optimal weights are found for the neural network.

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Deep Learning Interview Questions and Answers