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Questions tagged [dbn]

Deep Belief Networks, a key concept in contemporary neural networks.

Deep Belief Networks, a key concept in contemporary s.

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Deep Belief Networks vs Convolutional Neural Networks

I am new to the field of neural networks and I would like to know the difference between Deep Belief Networks and Convolutional Networks. Also, is there a Deep Convolutional Network which is the combination of Deep Belief and Convolutional Neural…
user3705926
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PyBrain - how to do Deep belief network training?

I have some difficulty training a DBN using Pybrain. First I tried to do it the simple way: net = buildNetwork(*layerDims) I faced this problem: How to do supervised deepbelief training in PyBrain? , and the suggested solution just led to another…
Ellie
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Deep learning for image classification

After reading a few papers on deep learning and deep belief networks, I got a basic idea of how it works. But still stuck with the last step, i.e, the classification step. Most of the implementation I found on the Internet deal with generation.…
Nihar Sarangi
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How to put my dataset in a .pkl file in the exact format and data structure used in "mnist.pkl.gz"?

I'm trying to use the Theano library in python to do some experiments with Deep Belief Networks. I use the code in this address: DBN full code. This code use the MNIST Handwritten database. This file is already in pickle format. It is unpicked in:…
John Krit
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How to do supervised deepbelief training in PyBrain?

I have trouble getting the DeepBeliefTrainer to work on my data in PyBrain/Python. Since I can't find any examples other than unsupervised on how to use the deep learning in PyBrain, I hope that someone can give examples that would show a basic…
user822448
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How fast are Deep Learning techniques (DNN, DBN, ...) in practice ?

Deep Learning Techniques (Deep Neural Network, Deep Belief Network, Deep Stacking Networks, ...) are very efficient in some areas. They take a very long time to train, but this is a only-once cost. I read several papers about different techniques…
Baptiste Wicht
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Implementing deep belief network for topic modelling

I'm trying to implement the deep belief network for the Semantic Hashing article (http://www.cs.toronto.edu/~hinton/absps/sh.pdf) by Geoffrey Hinton and Ruslan Salakhutdinov. I have a hard time figuring out how to implement the constrained poisson…
Maal
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'DataFrame' object has no attribute 'data' but I have added it in my dataset

I was following this tutorial on using deep belief networks https://www.pyimagesearch.com/2014/09/22/getting-started-deep-learning-python/ then I decided to attach my external dataset and I get the following error : Traceback (most recent call…
LUNATIC
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How to train continuous outputs(regression) in machine learning

I want to train regression model(not classification) which outputs are continuous numbers. Let's say I have input variable, X, which ranges between -70 to 70. And I have output variable, Y, which ranges between -5 to 5. X has 39 features and Y has…
hyungwon yang
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nolearn for multi-label classification

I tried to use DBN function imported from nolearn package, and here is my code: from nolearn.dbn import DBN import numpy as np from sklearn import cross_validation fileName = 'data.csv' fileName_1 = 'label.csv' data = np.genfromtxt(fileName,…
Kun
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Python DBN dbn.predict use

Hi I am confused with how dbn.predict works I have detected a number in an image using canny and then otsu threshold and resized it to 28x28 etc however when I pass it to dbn.predict I get the following error ValueError: arrays not aligned for dot…
Dev Roy
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Convolutional Deep Belief Networks (CDBN) vs. Convolutional Neural Networks (CNN)

Lastly, I started to learn neural networks and I would like know the difference between Convolutional Deep Belief Networks and Convolutional Networks. In here, there is a similar question but there is no exact answer for it. We know that…
user2202420
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Gaussian-RBM with NRLU hidden units (in DBN)?

I'm working on a RBM (for a DBN) for image classification. I' working with two RBM layers. The first has Gaussian visible units and binary hidden units and the second has binary visible units and softmax hidden units. It works quite well. I now want…
Baptiste Wicht
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How do I fix a "system is exactly singular/matrix is computationally singular" error when running inference on a Dynamic Bayesian Network?

I'm trying to adapt some Dynamic Bayesian Network code to work with my own (made up) data. I'm working in R using the dbnR package. Attached screenshot of full code up to error. All working up to the inference step, where I get an error message.…
Katie Pennington
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SupervisedDBNClassification' object has no attribute 'classes_'

I am using supervisedDBN learning code which is deep learning architecture, i customize the below code and got the following error... I am working on KDD99 Network security dataset to analyze multiple attacks. but have the following error in code.…
Ali Khan
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