Jacob Bender wrote:
The total function works when it returns the strength of a neuron, but I
don't think the "sorted" function is the best because, with its current
configuration, it returns a type error. I have been doing python for
several years now. I don't know EVERYTHING there is to know, b
On 8 May 2012 23:23, Jacob Bender wrote:
> Dear Tutors,
>
> My original email was this:
>
> "Dear tutors,
>
> I'm trying to create a neural network program. Each neuron is in a
> dictionary and each of its connections and their strengths are in a nested
> dictionary. So {0:{1:4, 2:5}}, 1:{0:6}, 2:
On 05/08/2012 05:23 PM, Jacob Bender wrote:
>
>
>
> def smartest(self): #Return the neurons in order from smartest to
> dumbest in list form.
> for neuron in self.neurons:
> sorted(neuron, key=self.total(neuron))
>
> The total function works when it returns the strength of
Dear Tutors,
My original email was this:
"Dear tutors,
I'm trying to create a neural network program. Each neuron is in a
dictionary and each of its connections and their strengths are in a nested
dictionary. So {0:{1:4, 2:5}}, 1:{0:6}, 2:{1:2}} would mean that neuron 0
is connected to neuron 1
Jacob Bender wrote:
> Dear tutors,
>
> I'm trying to create a neural network program. Each neuron is in a
> dictionary and each of its connections and their strengths are in a nested
> dictionary. So {0:{1:4, 2:5}}, 1:{0:6}, 2:{1:2}} would mean that neuron 0
> is connected to neuron 1 with a stre
Dear tutors,
I'm trying to create a neural network program. Each neuron is in a
dictionary and each of its connections and their strengths are in a nested
dictionary. So {0:{1:4, 2:5}}, 1:{0:6}, 2:{1:2}} would mean that neuron 0
is connected to neuron 1 with a strength of 4. And it also means that
