@kaushik_acharya

Hi,

I am trying to solve this Backpropagation Problem:

http://axon.cs.byu.edu/Dan/478/homework/cs478.homework.html

2nd problem(iris classification problem) in Backprop Assignmenti have recently started with Backpropagation algo ….just implemented XOR …

in XOR it was 2 classes so there was only 1 neuron in Output layer..desired output was 1 or 0 ..but here output contains 3 classes ..

so what to do?

should i keep a single neuron and have 0.33 0.66 and 1 as the desired output for different classes or have more than 1 neuron in output layer?What do u suggest?

[snapback]17149[/snapback]

I vaguely remember doing something with the Error Back Propagation
network.

I would recommend that you use three output neurons. You can do with
just two but I think using three makes your life easier.

ES

Hi,

I am trying to solve this Backpropagation Problem:

http://axon.cs.byu.edu/Dan/478/homework/cs478.homework.html

2nd problem(iris classification problem) in Backprop Assignment

i have recently started with Backpropagation algo ….just implemented XOR …

in XOR it was 2 classes so there was only 1 neuron in Output layer..desired output was 1 or 0 ..but here output contains 3 classes ..

so what to do?

should i keep a single neuron and have 0.33 0.66 and 1 as the desired output for different classes or have more than 1 neuron in output layer?

What do u suggest?