Gravity Falls
Adventure Time
SpongeBob SquarePants,
Cailou
Bubble Guppies
Dora
Teletubbies
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
Answer:
The formula to enter in E14 is as follows:
=DAYS(D14,$E$10)
Explanation:
Required
Formula to calculate the number of days between E10 and D14
The syntax to do this is:
=DAYS(end_date,start_date)
So, we have:
=DAYS(D14,E10)
The question requires a mix of relative and mixed references because cell E10 will be constant in calculating the difference for dates in other cells.
In other words, the initial date is constant for all
So, the update formula is:
=DAYS(D14,$E$10)
Notice the $ between in E10; this represents mixed referencing
When dragged to E15 till E68, the formulas in the respective cells will be:
=DAYS(D15,$E$10) .............................. =DAYS(D68,$E$10)
The third one because u have to do parenthesis
