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:
over heating
Explanation:
in computers dust acts as a blanket which traps heat, excessive heat causes components to burn up and short out
The answer to this question is a firewall. A Firewall is a network
security system that blocks and prevent unauthorized use or access of company’s
network. Firewall is also a program that screens and restricts viruses and other
users like hackers to reach the network through the internet.
Answer:
Statement to get input values:-
cin>>birthMonth>>birthYear;
Statement for output:-
cout<<birthMonth<<"/"<<birthYear<<endl;
Explanation:
The statements are in C++ language.
To get the input we use cin in C++ with >>.
We are taking the input of birthMonth and birthYear.
For printing we use cout .We have printed birthMonth then slash and then birthYear.
