Common examples are ATMs, POS terminals, and airport ticket vending machines. Cashierless checkout technologies like “Scan and Go,” inventory scanning, corporate-owned work profile devices, self-ordering kiosks, mobile devices, and POS/m POS are some of the most common examples of dedicated devices in use today.
Answer:
scope of pet name is limited to pet class and color is accessible to the whole program
Explanation:
It helps reveal the flow of execution of your program, including results of in-between evaluations. In other words, you can see what your program is doing, and why it takes the decisions it is taking.
If something unexpected happens, the trace will show you the sequence of events that lead to it.
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
