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Aprenda Challenge: Creating a Neuron | Neural Network from Scratch
Introduction to Neural Networks
course content

Conteúdo do Curso

Introduction to Neural Networks

Introduction to Neural Networks

1. Concept of Neural Network
2. Neural Network from Scratch
3. Model Training and Evaluation
4. Conclusion

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Challenge: Creating a Neuron

Tarefa

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.

Once you've completed this task, click the button below the code to check your solution.

Solução

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Seção 2. Capítulo 2
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book
Challenge: Creating a Neuron

Tarefa

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.

Once you've completed this task, click the button below the code to check your solution.

Solução

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 2
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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