Answer:
The answer is "5.5 and 90.90%"
Explanation:
For point 1:
To calculate the speed from fast mode, its run time without enhancement should be worked out. Designers are aware of which two selves are implicated throughout the accelerated project planning: the empty (
) and the increased stages (
).
Although not enhanced, this would take almost as long (
) and for the combine to give phase; even so, the increased phase would've been 10 times longer, as well as
. Thus the corresponding total speed without enhancement is 
Its overall speed is:

For point 2:
We re-connect these figures in Amdahl's Law throughout order to identify how long it would take for both the initial implementation:


I believe it is the the Show Desktop Icon.
Hope this helps! <3
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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