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I\'m trying to implement a feed-forward backpropagating autoencoder (training with gradient descent) and wanted to verify that I\'m calculating the gradient correctly. This tutorial suggests calculati
Which libraries/plugins are the best(fast/well-documented/etc) for designing and 开发者_运维百科creating neural nets with backpropgation?
I have implemented a multilayer perceptron to predict the sin of input vectors. The vectors consist of four -1,0,1\'s chosen at random and a bias set to 1. The network should predict the sin of sum of
Recently I\'ve studied the backpropagation network and have done some manual exercise. After that, I came up with a question( maybe doesn\'t make sense): is there any thing impor开发者_StackOverflow中
I\'m using a feed-foward neural network in python using the pybrain implementation. For the training, i\'ll be using the back-propagation algorithm. I know that with the neural-networks, we need to h
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.
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:
First I want to say that I\'m really new to neural networks and I don\'t understand it very good ;) I\'ve made my first C# implementation of the backpropagation neural network. I\'ve tested it using
I am creating a tool for predicting the time and cost of software projects based on past data. The tool uses a neural network to do this and so far, the results are promising, but I think I can do a l
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