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Angelina_Jolie [31]
3 years ago
15

Help a fellow coder and anser these 5 questions

Computers and Technology
1 answer:
BlackZzzverrR [31]3 years ago
4 0

Answer: yes because it helps

Explanation: it shows everything

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When a computer is suffering from a virus, you can use a compiler to help remove the virus. True or false?
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True I think because it helps right?
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3 years ago
The ____ function displays the highest value in a range.
Monica [59]
Max()

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4 years ago
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What is the value of count after this nested FOR loop executes fully.
Alisiya [41]

Answer:

168 (although the =< must be corrected to <=)

Explanation:

int count = 0;

for (int row = 4; row <= 15; row++)

for (int col = 0; col < 13; col = col +2)

count+=2;

The inner for loop runs 7 times (for col = 0,2,4,6,8,10,12). Anything higher is not less than 13. Therefore the inner loop increments count by 2 seven times, i.e. it increments count by 14.

The outer for loop runs 12 times (for row = 4,5,6,7,8,9,10,11,12,13,14,15).

If the count is incremented by 14 twelve times, you are incrementing it by 14*12 = 168.

Therefore the count goes from 0 to 168 after the nested loops.

5 0
3 years ago
Concept of CPU scheduler?​
vekshin1

Answer:

CPU scheduling is a process which allows one process to use the CPU while the execution of another process is on hold(in waiting state) due to unavailability of any resource like I/O etc, thereby making full use of CPU. ... The selection process is carried out by the short-term scheduler (or CPU scheduler).

6 0
3 years ago
From a neural network with 11 input variables, one hidden layer with three hidden units, and one output variable, how many param
e-lub [12.9K]

Answer:

40

Explanation:

Given that:

A neural network with 11 input variables possess;

one hidden layer with three hidden units; &

one output variable

For every input, a variable must go to every node.

Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:

= ( inputs + bias) × numbers of nodes

= (11 + 1 ) × 3

= 12 × 3

= 36 weights

Also, For one hidden layer (with 3 nodes) and one output

The entry result for every hidden node will go directly to the output

These results will have weights associated with them before computed in the output node.

Thus; using the formula

= (numbers of nodes + bais) output, we get;

= ( 3+ 1 ) × 1

= 4 weights

weights with respect to input and hidden layer total = 36

weights with respect to hidden and output layer total = 4

Finally, the sum of both weights is = 36 + 4

= 40

6 0
3 years ago
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