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 correct answer is "Consistency".
Explanation:
- It should have been continuous to have the information management service. All information must have been linked, gathered using the same technique as well as measurement but also displayed simultaneously frequencies.
- Throughout this query, Maggie considers the organization proceeds by a system whereby financial transactions online are not influenced by trade payables or rebates as they are separate accounts that are afterward adjusted for the business model.
Thus, the above is the correct answer.
Answer:
parentheses
Explanation: hope i helped <3 °ω°
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The correct answer to this question is initialization.
When you write a variable in a program, for example int firstNumber. The integer variable firstNumber is declaring in the program.
when you assign a data value to a variable in a program is referred to as initialization. for example:
firstNumber=10;
You can declare and initialize the variable in one statement such as:
int firstNumber=10;
