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:
integer currentPrice
integer lastMonthPrice
integer changeLastMonth
float mortagage
//Reading input
currentPrice = Get next input
lastMonthPrice = Get next input
//Calculating price change
changeLastMonth = currentPrice - lastMonthPrice
//Calculating mortagage
mortagage = (currentPrice * 0.045) / 12
//Printing output
Put "This house is $" to output
Put currentPrice to output
Put "\nThe change is $" to output
Put changeLastMonth to output
Put " since last month." to output
Put "\nThe estimated monthly mortgage is $" to output
Put mortagage to output
Answer:
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Explanation:
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Answer:t internal firewall
Explanation:
Did this in class
It deleted the conversation. Past messages and stuff like that. I don't think it will delete the contact, just the text messages.
