Re: Basic Neural Network in PDL


Keep It Simple, Stupid
	PerlMonks

Re: Basic Neural Network in PDL

by pryrt (Abbot)

on May 17, 2018 at 22:15 UTC ( [id://1214803]=note: print w/replies, xml )

Need Help??

in reply to Basic Neural Network in PDL

++Very nice. I had been thinking about brushing up on my neural net skills (they're 20years rusty), and I've bookmarked this this will be a good starting point for using PDL to do so.

My one minor nitpick: the sigmoid function you chose, the "logistic function", has a derivative that's f(x) * (1-f(x)), not x * (1-x), so you should replace your nonlin() sub with

sub nonlin {
    my ( $x, $deriv ) = @_;
    my $f = 1 / ( 1 + exp( -$x ) );
    return $f * ( 1 - $f ) if defined $deriv;
    return $f;
}
[download]

... It still trains with your slope, but with my slope, it gets there faster, so 10k training loops gives better results:

Output After Training:
[
 [ 0.0007225057]
 [0.00048051061]
 [     0.999593]
 [     0.999388]
]
[download]

Comment on Re: Basic Neural Network in PDL Select or Download Code

Replies are listed 'Best First'.

Re^2: Basic Neural Network in PDL
by mxb (Pilgrim) on May 18, 2018 at 07:57 UTC

Thanks for the kind words, I'm glad this post may assist.

Interesting point about the Sigmoid derivative. Both PDL and neural networks are still new to me, so I wouldn't have caught it. I'm glad someone with more experience has had a glance over the code. I wasn't aware that it was incorrect as it's a direct port of the code from the original blog post. I just checked and that code has the same error.

Thanks for the fix.

[reply]

In Section Cool Uses for Perl