I'm a College student (Economics) and I want to program some monetary models using Neural Networks. I want those models to be able to predict future values of some variables using economic data, but I really don't know how to "model" the program itself. Is there any good Python module for that? I mean, a module for NN and a module for ec...
I try to recognize pictures of every digit. I have removed everything else than the digit so that there is almost no noise other than the digit is placed differently on the pictures. I use Neuroph's image recognizing gui and have some questions about training. It seems that the larger resolution I use for the pictures the worser the tr...
I'm planning on building a feature for an e-commerce platform I developed in Java to display related products in much the same way Amazon does. There are a few different metrics for relating products that I want to explore. Purchase history (purchased at the same time) Related by family/type (similar product classifications) Intention...
Hello everyone. I am trying to write a simple neural network that can come up with weights to for, say, the y=x function. Here's my code: http://codepad.org/rPdZ7fOz As you can see, the error level never really goes down much. I tried changing the momentum and learning rate but it did not help much. Is my number of input, hidden and ou...
I am looking for recommended books (or other materials, like web pages) which demonstrate such examples -- structure of neural network (artificial) for given function. I.e. what is the best (in sense, of being minimalistic, yet correct) network structure for function min with N arguments. Or for function abs. And so on. The reason for ...
I have written an artifical neural network (ANN) implementation for myself (it was fun). I am thinking now about where can I use it. What are the key areas in the real world, where ANN is being used? ...
I have a database with many CVs, including structured data of the gender, age, address, number of years of education, and many other parameters of each person. For about 10% of the sample, I also have additional data about a certain action they've made at some point in time. For instance, that Jane took a home loan in July 1998 or that...
Hello, How quickly is a neural network expected to approximate the z = y^2 + x^2 function? Mine seems to struggle when I make the inputs negative as well and all the weights become really small ( *10^-16! if use 2x40x1) or all become of same number (like -0.16 and 0.16 if use 2x20x1). I am using 2000 input examples per epoch. However ...
Hello, Could someone please explain to me how to update the bias throughout backpropagation? I've read quite a few books, but can't find bias updating! I understand that bias is an extra input of 1 with a weight attached to it (for each neuron). There must be a formula. Thank you, @msw Most interesting. Thank you, I think two goo...
Hi all, I'm tackling an interesting machine learning problem and would love to hear if anyone knows a good algorithm to deal with the following: The algorithm must learn to approximate a function of N inputs and M outputs N is quite large, e.g. 1,000-10,000 M is quite small, e.g. 5-10 All inputs and outputs are floating point values, ...
do you know any good set of training images for my test neural network preferably a tagged set of images of numbers or letters or simple symbols faces or real images might be too complex at this stage. (i am tiring to implement a Boltzmann machine) ...
I am new in neural networks and I need to determine the pattern among a given set of inputs and outputs. So how do I decide which neural network to use for training or even which learning method to use? I have little idea about the pattern or relation between the given input and outputs. Any sort of help will be appreciated. If you want...
I'm looking for a good source code example of a supervised neural network which accepts more than two features (unlike most XY-examples) and classifies data into two sets. From what I've read, a Support Vector Machine (SVM) might be a solution? All the classifying examples I have found are two-dimensional. Here are a few: Single layer...
I need to design a neural network which has the following behavior: p(1)={0,1,1,1} outputs a(1)={0,1,0,0} p(2)={1,1,0,1} outputs a(2)={0,0,1,0} p(3)={0,0,1,0} outputs a(3)={0,0,0,1} p(4)={0,0,1,1} outputs a(4)={1,1,0,1} How can i do so? Which type of neural network should I use? Which learning method can be used here? Thanks. ...
Can anyone (preferably with actual experience of the recommended library), suggest a good ANN library for Python? [Edit] ideally, the library/framework supports more than the basic FF paradigm. I would like one that has (or allows you to build) other network types e.g. a SO network for example ...
Is there a kind of package in R for this? Is the "AMORE" package a possible surrogate for Matlab's Neural Network Toolbox? Thanks. ...
Hi all, I have a very simple linear classification problem,which is to work out a linear classification problem for the following three classes in coordinates: Class 1: points (0,1) (1,0) Class 2: points (-1,0) (1,0) Class 3: points (0,-1) (1,-1) I manually used a random initial weight [ 1 0,0 1] (2*2 matrix) and a random initial bias...
Hi, I'm trying to add to the code for a single layer neural network which takes a bitmap as input and has 26 outputs for the likelihood of each letter in the alphabet. The first question I have is regarding the single hidden layer that is being added. Am I correct in thinking that the hidden layer will have it's own set of output value...
Hello forum, I am currently searching for a neural network (toy) example, that I might optimize using GPU kernels. I need clean & minimal code (no fancy optimizations, max. a few thousand sloc) ample testing data C/C++ open source Does anybody has an adequate hint? There's a bunch of examples on the net, but with insufficient test...
I am doing a Neural Network project as my final year undergraduate project. The idea of the project : A very simple robot with 2 motors, and two ir and bump sensors will traverse a environment with the use of a Neural Network which is in a computer. The main requirement is to observe possibly with a suitable GUI the learning process an...