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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a neuron in a neural network?
💡 Hint: Think about the role of neurons in the brain.
Question 2
Easy
Define weights in the context of neural networks.
💡 Hint: Consider how they influence neuron outputs.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does a neuron in a neural network do?
💡 Hint: Think about how neurons in our brain work.
Question 2
True or False: Weights are important because they indicate the strength of connections between neurons.
💡 Hint: Consider their role in decision-making.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Consider a neural network where a neuron has three inputs with weights of 0.2, 0.5, and 0.3 respectively. If the corresponding inputs are 1, 2, and 3, calculate the output of the neuron if the bias is 0.1 and the activation function is a sigmoid.
💡 Hint: First find the weighted sum, then apply the sigmoid function.
Question 2
Explain how altering the weights of a neuron might impact its output during the training of a neural network. Provide an example.
💡 Hint: Think about how changing the importance of inputs affects the overall decision-making process.
Challenge and get performance evaluation