In using neural networks, an analyst must decide __________ and ___________
A) how many hidden layers to use and how many nodes to use in each of the hidden layers
B) how accurate the prediction should be and how many iterations to use
C) how many nodes to use and how much time to allow for simulation
D) how many iterations to use and what is the limit on the budget constraint

Question

Quizplus · Accepted Answer

The number of hidden layers and the number of nodes in each layer are crucial decisions in designing a neural network. The number of hidden layers and nodes impact the network's ability to learn and generalize patterns in the data. Selecting the right number of hidden layers and nodes requires careful consideration and trial and error testing to ensure optimal performance. The accuracy of the prediction and the number of iterations are important but are generally decided based on the complexity of the problem and available resources. The number of nodes used and the simulation time are also important, but these decisions are often based on the available computing resources and the complexity of the problem. The budget constraint is not necessarily a critical factor in these decisions.

In Using Neural Networks, an Analyst Must Decide __________ and ___________

In Using Neural Networks, an Analyst Must Decide and _