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Alina [70]
3 years ago
5

Question #4

Computers and Technology
2 answers:
Katena32 [7]3 years ago
8 0

Answer:

C

Explanation:

I could be wrong so dobt trust me

Elis [28]3 years ago
3 0

Answer:

a log raft is not .....jejwndid

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television broadcasts were originally delivered by using which technology? ethernet wireless coaxial cable broadband
laiz [17]

Television broadcasts were originally delivered by using:

  • Ethernet
  • Coaxial cable
  • [Wireless] or  Broadband

<h3>What is Ethernet is used for?</h3>

Ethernet is known to be a kind of network or services that is often used to link two or more devices in a network.

This is known to be very  popular kind of network connection. It is known to be used in  local networks by specific organizations such as offices, school campuses and  it is used often for Television broadcasts.

Therefore,  Television broadcasts were originally delivered by using:

  • Ethernet
  • Coaxial cable
  • [Wireless] or  Broadband

Learn more about Ethernet from

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2 years ago
What is c also write it's features
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C is a language used to write complex programs.

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3 years ago
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Binary is best interpreted by a computer because ​
Nookie1986 [14]
Because it is the back-end programming. It is the basis of all of the other computer languages and allows the computer to function.
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What project started the development of inter-network connections using tcp/ip that has evolved in to the internet today
Vinvika [58]
The <span>ARPANET </span><span>project started the development of inter-network connections using TCP/IP that has evolved in to the internet today</span>
4 0
3 years ago
From a neural network with 11 input variables, one hidden layer with three hidden units, and one output variable, how many param
e-lub [12.9K]

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

6 0
3 years ago
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