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 space bar is an astronauts favorite key
<em>The answer is: your GPS unit cannot send signals to the satellite when it cannot reach it by line of sight.
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<em>GPS signals are based on frequencies that can be blocked by solid objects (like walls and roofs). A GPS device is using a series of satellites to detect and see where it is physically located. These frequencies are sent from these plates (satellites) and we cannot expect it to go through all kinds of barriers. When you use a GPS inside a building, a wide variety of physical barriers and potential interference sources make it difficult for the device to detect your location accurately.
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