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learning curve for Neural network / Machine learning

I understand the idea of learning curve and how to solve problems based on its information.https://www.youtube.com/watch?v=g4XluwGYPaAQUESTION: If we take the MNIST task with 60k training set + 10k...

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Convolutional Neural network query and advise.

Firstly forgive me if my terminology is not correct as this is a field for which I am certainly no expert but basically taken a dive. Thus expect some oddities below if you have a reasonable level of...

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Implementing Machine Learning Algorithms

Hi everyone,Most of the resources on Machine Learning, either teach you the theoretical side of it, or how to use existing libraries. Are there resources on how to actually implement Machine Learning...

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Markov Chain of St James Bible + CS book [X-post from r/webdev]

submitted by iheartennui [link][4 comments]

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[ArXiv] Deeply-Supervised Nets (claim to be new SOTA in CV)

submitted by dhammack [link][2 comments]

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PCA reduction

How to perform PCA reduction of images in matlab? submitted by no_porner [link][comment]

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[Learning]: Additional learning resources on machine learning

Hi All,I have read through the wiki of MachineLearning and it list great resources, I was just trying to collate any other learning resources which are valuable but not mentioned in the wiki. Kindly...

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cross entropy for Relu and unbounded data ?

Hi Is it smart to use the cross entropy loss function when the activation function used is Relu and is unbounded?The input is the MNIST data, so binaryIt is for an auto-encoderside note (the reason for...

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Most popular Deep Learning Papers in the (2014) Bibliography

submitted by atveit [link][comment]

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decision tree based classifiers

In decision tree based classifiers (decision tree, random forest, GBT, etc...), the scaling of features is irrelevant since a split point is chosen based on how many points are above/below the split...

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One line code of Independent Component Analysis in Matlab/Octave problem.

I have been trying to recreate the ICA algorithm Andrew Ng showed at https://class.coursera.org/ml-005/lecture/4. He mentioned that using only one line of code in Matlab/Octave, it should work. I'm...

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Training cost value big for a small training size (eg. Training set of 2...

HiI made two different auto-encoder networks. One with maxout units (with the shared weights) and another maxout units (where the weights are not shared, like LWTA).My problem is that my cost value...

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My Attempt at Outperforming Deepmind's Atari Results

Hello!I am a reinforcement learning hobbyist, and I made myself a challenge: To outperform DeepMind's reinforcement learning agent in the Arcade Learning Environment!I will be posting updates here as I...

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The next Turing Test? Handwriting.

submitted by cavedave [link][14 comments]

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Dropout causing big training cost error for small training size?

Hi allI was wondering if Dropout can cause big training cost error rather then a cost error close to zero, when the training size is small like 2 sample (used for learning curve) submitted by rishok...

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Weka java API: Attribute Selection and Cross Validation

Is there a way to perform Attribute selection(feature selection) regardless of method only for the training set before passing data for Cross Validation using the Weka API?I currently think that the...

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Comprehensive collection of literature about Support Vector Machines (SVMs)

submitted by rasbt [link][comment]

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A Tutorial on Support Vector Machines for Pattern Recognition (PDF)

submitted by rasbt [link][4 comments]

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Online Learning and Sub-Linear Debugging - Machine Learning

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Procedural locomotion using linear regression

submitted by hhm [link][comment]

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