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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the role of a neuron in a neural network?
💡 Hint: Think about how your brain cell functions!
Question 2
Easy
Define weight in the context of neural networks.
💡 Hint: Consider how some effects are stronger than others.
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 is the function of a neuron in a neural network?
💡 Hint: Think about the basic unit that mimics the brain.
Question 2
True or False: A weight indicates the importance of an input in a neural network.
💡 Hint: Consider how some factors weigh more heavily than others.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You have a neural network with 3 layers: an input layer with 10 neurons, 2 hidden layers with 5 neurons each, and an output layer with 1 neuron. Calculate how many weights you would have if each connection has an individual weight initially set to 0. How would modifying the weights by backpropagation improve the model?
💡 Hint: Consider how each layer connects to the next.
Question 2
A neural network has a bias value of 0.5, weights of 0.3, and input of 2. Calculate the output after applying a ReLU activation function.
💡 Hint: Recall how ReLU works: it outputs 0 if the input is less than 0.
Challenge and get performance evaluation