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Answer:
The answer is many top commercial ANNs forgo hidden layers completely.
Explanation:
Hidden layers are artificial neural networks which her directly hidden in between input layers and output layers. It increase the required computation exponentially, improves prediction capabilities and they are not visible as a network output. It ensures there it calculates the weighted inputs and net inputs to produce the actual output. The more the number of hidden layers in a neural network, the longer it takes for it to produce the output and it will enable the neural network to solve more complex problems.
Answer:
C
Explanation:
beacuse you need to be respectful and smart.
Answer:
for(i = 0 ; i < NUM_VALS; ++i)
{
cout << courseGrades[i] << " ";
}
cout << endl;
for(i = NUM_VALS-1 ; i >=0 ; --i)
{
cout << courseGrades[i] << " ";
}
cout << endl;
Explanation:
The first loop initializes i with 0, because we have to print the elements in order in which the appear in the array. We print each element, adding a space (" ") character at its end. After the loop ends, we add a new line using endl.
The second loop will print the values in a reverse order, so we initialize it from NUM_VALS-1, (since NUM_VALS = 4, and array indices are 0,1,2,3). We execute the loop till i >= 0, and we print the space character and new line in a similar way we executed in loop1.