2.2.2. Emergence of Neural Networks and Hardware Constraints

Try these first

1. 1.

   What is a neural network?

   Hint

   Think about brain processes.

2. 2.

   Name one limitation of hardware in the 1980s.

   Hint

   What could the CPUs not handle effectively?

3. 3.

   What algorithm allowed for learning in neural networks?

   • Backpropagation
   • Overfitting
   • Gradient Descent

   Hint

   Which method adjusts weights based on errors?

4. 4.

   True or False: The perceptron was capable of solving any complex problem.

   • True
   • False

   Hint

   Remember the capabilities of early neural networks.

5. 5.

   Analyze the limitations faced by the perceptron in the context of neural networks and propose potential solutions that could have been implemented during the 1980s.

   Hint

   Consider both technology and algorithm improvements.

6. 6.

   Design an argument on how advancements in hardware influence the practical applications of AI today versus the 1980s.

   Hint

   Focus on the implications of hardware enhancement in real-world AI solutions.