Could one sample be enough for a perceptron training?
I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very basic understanding of neural networks and I am not sure whether this approach will work if there is only one source picture (to train it with). Anything I could do in this case?
Neural network converges to 0.5 for XoR
I’m coding a neural network in C for an OCR project. Before testing with character recognition, I’m making it learn the XoR operation. Although, the results I’n getting always converges to 0.5 instead of 1 or 0 for all input combinations.
What type of neural network is suitable for simulating brain of virtual organism? [closed]
Closed 9 years ago.
What type of neural network is suitable for simulating brain of virtual organism? [closed]
Closed 9 years ago.
What type of neural network is suitable for simulating brain of virtual organism? [closed]
Closed 9 years ago.
What type of neural network is suitable for simulating brain of virtual organism? [closed]
Closed 9 years ago.
What type of neural network is suitable for simulating brain of virtual organism? [closed]
Closed 9 years ago.
How to have a neural network deal with a variable size input
I’m trying to write a program in Python that will take an input of a .wav (sound) file, and determine whether the user is saying “yes” or “no”.