Crash Course - AI#3

What is the main advantage of connecting multiple perceptrons together in AI?

• It creates an artificial neural network.

• It reduces the number of neurons needed.

• It eliminates the need for hidden layers.

• It simplifies the math involved.

What is the role of the input layer in a neural network?

• To perform complex calculations.

• To make the final decision.

• To receive data represented as numbers.

• To combine the outputs of hidden layers.

In a neural network, what does each hidden layer neuron do with the numbers it receives?

• It ignores them.

• It combines them mathematically.

• It converts them into text.

• It sends them directly to the output layer.

Why do deeper neural networks require faster computers?

• They have fewer hidden layers.

• They need to process more complex data.

• They use simpler math.

• They have fewer neurons.

Why is it important to understand how neural networks make decisions?

• To ensure legal compliance and transparency.

• To improve the speed of computers.

• To reduce the number of neurons.

• To simplify the math involved.