BGE - Neural Networks

What inspired early computer scientists to create learning machines?

• The behavior of animals

• The growth of plants

• The efficiency of computers

• The structure of the human brain

What is the basic structure of a neuron?

• Multiple inputs and a single output

• A single input and output

• Multiple outputs from multiple inputs

• A continuous loop of inputs and outputs

What allows computers to recognize images and drive cars?

• Simple algorithms

• Biological neural networks

• Artificial neural networks

• Artificial intelligence

What does connecting artificial neurons together form?

• A single-layer perceptron

• A complex algorithm

• A biological neural network

• An artificial neural network

How are critics' ratings used in the movie recommendation system?

• To exclude the lowest rating

• To adjust the weight of each critic's opinion

• To select the highest rating

• To calculate the average rating

How does the system improve its movie recommendations?

• By asking for more critics

• By changing the algorithm completely

• By increasing the number of movies rated

• By adjusting the critics' weights based on user feedback

What is the role of hidden layers in a neural network?

• To connect input to output directly

• To process and transform the input signal

• To store data temporarily

• To reduce the complexity of the network

How do real-world recommendation systems use neural networks?

• By using a single layer of neurons

• By learning from millions of users' ratings

• By focusing on a small dataset

• By manually adjusting the weights

What are some applications of neural networks beyond recommendation systems?

• Playing video games

• Solving mathematical equations

• Creating digital art only

• Predicting weather and aiding in conservation