Answer:
Binary is made up of only 2 digits: a one and a zero. 1011 is eleven in our counting system.
So 10 in binary = 2 in our counting system.
Read the joke as follows. There are 2 types of people in the world: those who understand binary and those who do not.
I guess it's not really that funny, but computer programmers like 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
D) one lead in front of the current resistor, one behind it:
Explanation:
Answer:
C. Source-Encoding-Message channel-Noise-Receiver-Feedback
Explanation:
The traditional communication process is a linear model which describes the several routes taken for a successful communication. The process typically begins with the source who has a message to pass. He then encodes the message perhaps packaging it as a written message. The message then moves through a channel.
In the process of travelling through the channel, the message might encounter noise, which are factors in the environment that can disrupt the message. When the message eventually gets to the receiver after the noise has been overcome, the receiver then decodes the message and sends a feedback.
