Contenido del Curso
Introduction to Neural Networks
Introduction to Neural Networks
3. Model Training and Evaluation
Challenge: Creating a Neuron
Tarea
Swipe to start coding
Your task is to implement the basic structure of a neuron by completing the missing parts.
- Initialize the weights (an array) and bias (a single number) with random values from a uniform distribution in range
[-1, 1)
using NumPy. - Compute the weighted sum of the inputs using the dot product, add the bias, and store the result in
input_sum_with_bias
. - 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.
Solución
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 2. Capítulo 2
Challenge: Creating a Neuron
Tarea
Swipe to start coding
Your task is to implement the basic structure of a neuron by completing the missing parts.
- Initialize the weights (an array) and bias (a single number) with random values from a uniform distribution in range
[-1, 1)
using NumPy. - Compute the weighted sum of the inputs using the dot product, add the bias, and store the result in
input_sum_with_bias
. - 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.
Solución
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 2. Capítulo 2