<p>Yes, of course you could do that.  Whether it is useful will depend on the task.  I'd suggest spending some quality time on tutorials/classes on neural networks, and then spend some time experimenting with different network architectures to see how the choice of feature vector affects the performance of the network.</p>

CC BY-SA 3.0
2016-08-06T19:40:50.073Z
As you suggested, i must spend very time to have a good knowledge and it's what i'm trying to do now, but for this doubt i wasn't able to found any good direct answer. Many thanks! If you have some good links, i would appreciate it :D
Jump46
CC BY-SA 3.0
2016-08-05T17:29:54.127Z
2016-08-05T17:29:54.127Z
D.W.
<p>The question is:  can exist a parallel or serial neural network or someone talked about this?
For explanation, in the network a single record in a data set enter in the input layer as a value between 0 and 1, but, could i interpretate the value parallely as an array of bits (so i need an input layer as large as the number of bits composing the value) or even serially? or this is a bad technic?</p>

<p>Imagine a number (es. 5) that is interpretated as an n-bits values (101) in a 3-way input layer instead of a degree (0,?) in a 1-way input layer.</p>

<p>I'm a novice in neural network and the question could be stupid. Sorry if it is.</p>

CC BY-SA 3.0
2016-08-10T04:03:53.780Z
For AI basics, try asking at: [http://ai.stackexchange.com](http://area51.stackexchange.com/proposals/93481/artificial-intelligence)
kenorb
<machine-learning><ai.artificial-intel><ne.neural-evol>
Serial and parallel neural network
Jump46
# Serial and parallel neural network

(Asked by: username_0 on 2016-08-03)

The question is: can exist a parallel or serial neural network or someone talked about this?
For explanation, in the network a single record in a data set enter in the input layer as a value between 0 and 1, but, could i interpretate the value parallely as an array of bits (so i need an input layer as large as the number of bits composing the value) or even serially? or this is a bad technic?

Imagine a number (es. 5) that is interpretated as an n-bits values (101) in a 3-way input layer instead of a degree (0,?) in a 1-way input layer.

I'm a novice in neural network and the question could be stupid. Sorry if it is.

**Tags:** machine-learning, ai.artificial-intel, ne.neural-evol

> **Comments:**
> **username_1**: For AI basics, try asking at: [http://ai.stackexchange.com](http://area51.stackexchange.com/proposals/93481/artificial-intelligence)  

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## 1 answers

### Answer by username_2 on 2016-08-05. Score: 0 | Accepted answer

Yes, of course you could do that. Whether it is useful will depend on the task. I'd suggest spending some quality time on tutorials/classes on neural networks, and then spend some time experimenting with different network architectures to see how the choice of feature vector affects the performance of the network.

> **Comments:**
> **username_0**: As you suggested, i must spend very time to have a good knowledge and it's what i'm trying to do now, but for this doubt i wasn't able to found any good direct answer. Many thanks! If you have some good links, i would appreciate it :D  

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