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
Bing offers work pretty good, I have gotten the rewards a couple of times
What are some ways you can work with templates? Check all that apply.
Answer: (A,D,E) see picture below for help also.
Well, CEOs are on the top of the food chain. It takes a lot of work and ambition to become one, and once they are one, <span>CEOs accept a huge amount of responsibility - that means having to take blame if things go wrong and </span><span>having more tasks to complete such as having to attend numerous meetings, make decisions. They are also on the board of directors.</span>
Assistants do not have to do as much, they likely won't have that much responsibility or experience, their tasks revolve around ensuring meetings are scheduled and performing other ad-hoc duties.
A. Small impurities can cause big changes in the color of a mineral.
