Use an AppExchange product that does fingerprint scanning with native Salesforce Identity Confirmation
An application used to access and view websites
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:
False
Explanation:
IPv4 address are composed of four octets (8 bit numbers), ranging from <em>0.0.0.0 to 255.255.255.255</em>
All those 32 bits, in decimal notation, can form a total of
different addresses.
Being more than 4 billion addresses and ignoring that some addressesare reserved for special uses, even present human population almost doubles that number.
So it is safe to state that IPv4 addresses is <u>not </u>enough to give every blade of grass its own IP.
