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Learn Challenge: Creating a Neuron | Neural Network from Scratch
Introduction to Neural Networks

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Challenge: Creating a Neuron

Task

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Your task is to implement the basic structure of a neuron by completing the missing parts.

  1. Initialize the weights (an array) and bias (a single number) with random values from a uniform distribution in range [-1, 1) using NumPy.
  2. Compute the weighted sum of the inputs using the dot product, add the bias, and store the result in input_sum_with_bias.
  3. Apply the sigmoid activation function to input_sum_with_bias to obtain the neuron's output.

Solution

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SectionΒ 2. ChapterΒ 2
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book
Challenge: Creating a Neuron

Task

Swipe to start coding

Your task is to implement the basic structure of a neuron by completing the missing parts.

  1. Initialize the weights (an array) and bias (a single number) with random values from a uniform distribution in range [-1, 1) using NumPy.
  2. Compute the weighted sum of the inputs using the dot product, add the bias, and store the result in input_sum_with_bias.
  3. Apply the sigmoid activation function to input_sum_with_bias to obtain the neuron's output.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 2
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
We're sorry to hear that something went wrong. What happened?
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