Which of the following are limitations of neural computing?
A) ANNs cannot explain inferences.
B) The repetitive training process is often time consuming.
C) Neural computing technologies push the limits of their hardware.
D) All of the above.

Question

Quizplus · Accepted Answer

All of the options listed are recognized limitations of neural computing. ANNs (Artificial Neural Networks) often act as "black boxes," making it difficult to understand how they reach specific inferences (A). The training process for neural networks can be very time-consuming due to the need for large datasets and extensive computational resources (B). Additionally, the advanced capabilities of neural computing demand significant hardware resources, which can push the limits of current technology (C).

Which of the Following Are Limitations of Neural Computing