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4 cards from this section. Quick, good the night before a test.
What is a neuron in a neural network?
Think about the role of neurons in the brain.
Define weights in the context of neural networks.
Consider how they influence neuron outputs.
What does a neuron in a neural network do?
Think about how neurons in our brain work.
True or False: Weights are important because they indicate the strength of connections between neurons.
Consider their role in decision-making.
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.
First find the weighted sum, then apply the sigmoid function.
Explain how altering the weights of a neuron might impact its output during the training of a neural network. Provide an example.
Think about how changing the importance of inputs affects the overall decision-making process.
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