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Search found 11 results on 1 pages for 'backpropagation'.

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  • Performance in backpropagation algorithm

    - by Taban
    I've written a matlab program for standard backpropagation algorithm, it is my homework and I should not use matlab toolbox, so I write the entire code by myself. This link helped me for backpropagation algorithm. I have a data set of 40 random number and initial weights randomly. As output, I want to see a diagram that shows the performance. I

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  • Encog 3.0 backpropagation

    - by Mohamed Shouman
    I have a question...I am using Encog framework to train a network using BP. I am training the network using images that has some object say a cat, telling the network which images are cats and which are not. Bellow are my Neural Network results actual=0.1545868370551181 ideal=0.0,actual=0.797896306829758

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  • Questions about the Backpropogation Algorithm

    - by Colemangrill
    I have a few questions concerning backpropogation. I'm trying to learn the fundamentals behind neural network theory and wanted to start small, building a simple XOR classifier. I've read a lot of articles and skimmed multiple textbooks - but I can't seem to teach this thing the pattern for XOR. Firstly,

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  • C++ std::vector problems

    - by Faur Ioan-Aurel
    For 2 days i tried to explain myself some of the things that are happening in my c++ code,and i can't get a good explanation.I must say that i'm more a java programmer.Long time i used quite a bit the C language but i guess Java erased those skills and now i'm hitting a wall trying to port a few

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  • Role of Bias in Neural Networks

    - by user280454
    Hi, I'm a newbie to the world of ANN. I'm aware of the Gradient Desecent Rule and the Backpropagation Theorem. What I don't get is , when is using a bias important? For example, when mapping the AND function, when i use 2 inputs and 1 output, it does not give the correct weights, however , when

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  • Decision region plot for neural network in matlab

    - by Taban
    I have a neural network trained with backpropagation algorithm. I also create data set (input and target) random. Now I want to plot a decision region where each region is marked with a red star or with a blue circle according to whether it belongs to class 1 or -1. I searched a lot but just

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