Answer:
look up some stories if you can like about dogs or something and then write why you like animals then write about how much you need to know about dogs or cats to be a good dog/cat owner
Explanation:
I already gave you the two stories didn't I in your last questions?
Answer:
What's the correct position to put your hands on the keyboard?
Explanation:
Answer:
Explanation:
a binary number is a number expressed in the base-2 numeral system or binary numeral system
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
