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Input : Node Graph, Output : Float

I have some knowledge of machine learning, but I don't know of any solution related to the following problem.Having as input a graph of X nodes (x isnt fixed)Evaluate with a Neural net/svm or anything...

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Implementing a Distributed Deep Learning Network over Spark

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Videos from the Deep Learning Master Class at Tel Aviv University are now Live

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Mathematics of Hierarchical Temporal Memory

submitted by fergbyrne [link][4 comments]

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How Transferable are Features in Deep Networks?

submitted by madisonmay [link][1 comment]

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Do you use stream reasoning to predict data?

Hello guys,I read about stream reasoning, which I find quite interesting. It seems to be a really young field in science.Basically, you have a knowledge base and try to reason, derive new knowledge, on...

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Unsupervised Image recognition example (possibly google)

I've lost something in the internet. I'm trying to find a link/reference to an article showing the results of an unsupervised computer vision effort. Amongst the description of the project was a large...

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Generative Adversarial Nets

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Best algorithm for unsupervised learning, layer by layer, of continuous...

Hi, I'm new in ML (and English is not my first language, sorry for mistakes). I know and understand (more or less) Restricted Boltzmann Machines, and I would like to stack some layers to do deep belief...

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Magically updated statML arXiv subreddit

submitted by arXibot [link][3 comments]

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PCA vs ICA vs NNMF

I've have good results pre-processing data with PCA for ANNs whether of not I need dimension reduction. Has anyone achieved real world gains using Independent Component Analysis or Non-Negative Matrix...

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Evolutionary Intelligent Life Demo

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CS231n: Convolutional Neural Networks for Visual Recognition

submitted by madisonmay [link][7 comments]

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NLP keyword extraction, bayes therom. Where do I start?

First of all I would like to apologise as I'm new to programing( java) I'm working on a side project where I'm extracting "meaning" from medical records. This would involve keyword extraction and text...

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Any resources on metaheuristics applied to general problem solving, e.g. in...

I've been trying to find publications / blog posts / info on the application of metaheuristics to general problem solving, (in the business domain, but not necessarily so). E.g. organizing business...

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Overfitting vs capacity to learn and some other questions

Hi, basic questions:I am experimenting with machine learning, trying to predict computer generated images (containing only a character, centered and scaled) with a maxout neural network using the...

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Objective function for multi-class convolutional neural networks?

I feel like this might be a stupid question, but I've been doing a bit of reading and while I understand the design of convolutional neural networks, I'm curious as to the objective function in regards...

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Mathematics of Hierarchical Temporal Memory II: Transition Memory

submitted by fergbyrne [link][3 comments]

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How can I start with Machine Learning

Good day. I've a 3rd year com. eng student going to my 4th next year. I have been sort of focusing/specializing in the computer vision area and signal processing area and am familiar with some of the...

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Neural network always gives same output regardless of input

Hello! I have a neural network coded up in PyBrain. It has 4 input layers, 3 hidden, and 4 output. The network has been trained until convergence. Now, however, whenever I activate the network using a...

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