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Data Science @ ESIEE Paris - Yann LeCun

submitted by paralax77 [link][1 comment]

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How to WEKA the living daylights outta my data with a real life scenario???

I must say this is exciting, i absolutely have no foundation in computer science or programming and neither was i very good at mathematics but somehow i am in love with the idea of machine learning,...

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Ways to improve dynamic time warping word recognition system?

I recently got interested in speech recognition and have implemented a simple dynamic time warp system for word recognition for my own learning purpose. However after testing a bit I believe that I...

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Possible Commercial-friendly Caffe Pre-trained Nets

A friend of mine told me that during an Nvidia webinar today ("DIY Deep Learning for Vision: A Tutorial with Caffe"), someone mentioned that the pre-trained nets will be released with a new...

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Question about Neural Networks with directed weights

A characteristic feature of biological neural networks is that the connections between neurons are directed. Backpropagation as well as Boltzmann machines rely on bidirectional connections that allow...

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Scalable, High-Quality Object Detection

submitted by vkhuc [link][comment]

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Train network by comparing 2 set of entries

I'm wondering if there is an actual method to do the following :Having 2 set of Identical features which are not the same training exemple as a single training exemple.A1,A2...A10, B1,B2....B10. =>...

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Transforming Auto-encoders

submitted by madisonmay [link][1 comment]

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Huge drop in quality of neural network when using tanh instead of sigmoid as...

I'm playing around with neural nets in Haskell, and I've got this code :import AI.HNN.FF.Network import Numeric.LinearAlgebra main :: IO () main = do net <- createNetwork 2 [5] 1 :: IO (Network...

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From G+, Andrej Karpathy: "I rendered the NIPS 2014 papers in pretty format...

submitted by test3545 [link][8 comments]

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Machine Learning: The High Interest Credit Card of Technical Debt

submitted by improbabble [link][1 comment]

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Translating randomForest (R) back into actionable items

I'm having a hard time translating my random forest back into actionable results. I'm trying to predict a bit flip based on a number of variables using R's excellent randomForest package. Let's say one...

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11 open source tools to make the most of machine learning

submitted by futureisdata [link][1 comment]

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Machine Learning in MATLAB?

Does anyone here do their machine learning in MATLAB? What do people think about various packages available in matlab? I'm a total beginner and would love to hear people's opinions submitted by...

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Question on auto-association with multilayer perceptrons

Hi!I am trying to teach a multilayer perceptron to do an auto-association task but I can't get it to work properly. I have little experience with neural networks so I thought that the solution to my...

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[homework] trouble with nltk python NaiveBayesClassifier, I keep getting same...

Hey /r/machinelearning--I don't see too many [homework] posts here, so I hope I'm not in the wrong sub. If so, please point me to a better option.so I'm working on a project in which i take in anime...

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Listing Kaggle projects on resume

I just completed a few tutorials on analyzing the Kaggle Titanic dataset using R and Python from various websites. Should I list these completed submissions on my resume? submitted by bthrill [link][3...

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Weekend reading - 3 recent stories about Microsoft Machine Learning and...

submitted by MLBlogTeam [link][comment]

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Help with Generative Adversarial Networks

I just finished implementing Generative Adversarial Networks. There are a few things that I'm confused about. In my experiments, training diverges if I use any type of distribution where regions with...

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Neural Machine Translation demo

submitted by benanne [link][6 comments]

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