4 ms·

Deep learning made easy

57 points by platz 14y ago

losethos 14y ago
I am no longer afraid of easily made A.I. coming into being but I'm not keen to work on it. I don't know. This topic doesn't haunt me like it used to. I think modestly useful things can be discovered. That's okay, I guess good, in fact. There is not really any discovery I long for in science. Fusion, perhaps, but even that could be scary. When you get old you want one thing -- no change. You have to scold yourself. I made a souped-up C64 -- didn't really break any new ground, but maybe it enables A.I. or robots. CIA made everything clusterfucked. I don't like clusterfucked environments to work with -- that hell... nasty. Maybe a nonprogrammer doesn't understand what clusterfucked means for programming environments.
visarga 14y ago
I like your article. I'd like to try. By the way, what is the easiest way to use deep learning? Is there a hello-world example? I've been following RBMs for years but I never attempted to train one. It seemed too complex. I've used command line tools like Vowpal Wabbit with success, though. So, is there an RBM implementation as accessible as VW?
- snippyhollow 14y ago
  For Matlab, there are several implementations, including the DeepLearningToolbox: https://github.com/rasmusbergpalm/DeepLearnToolbox https://github.com/rasmusbergpalm/DeepLearnToolbox For Python there is the great Theano, and the RBM implementations of MORB https://github.com/benanne/morb https://github.com/benanne/morb
- deleted 14y ago
  [deleted]
MichailP 14y ago
Is it possible to use similar algos for meshing (used in finite element analysis)? Shape recognition wouldnt be needed as the first step, since CAD files are input in FEA.
klintcho 14y ago
Great article! I think i will try this approach on labeled EMG signals.
- platz 14y ago
  What is emg?
deleted 14y ago
[deleted]
lrem 14y ago
The technique looks intriguing. Are you aware of any implementation that does not require Matlab (nor its competitors)?
- abrichr 14y ago
  Theano [1] is developed at the LISA lab led by Yoshua Bengio at l'Université de Montréal. Pylearn2 [2] is developed by the same group, and is built on top of Theano. [1] http://deeplearning.net/software/theano/ http://deeplearning.net/software/theano/ [2] http://github.com/lisa-lab/pylearn2 http://github.com/lisa-lab/pylearn2
  - felixr 14y ago
    Theano/Pylearn2 provide RBM, DBN, DAE, ... But do they have an implementation for sparse filtering?

57 points by platz 14y ago

I am no longer afraid of easily made A.I. coming into being but I'm not keen to work on it. I don't know. This topic doesn't haunt me like it used to. I think modestly useful things can be discovered. That's okay, I guess good, in fact. There is not really any discovery I long for in science. Fusion, perhaps, but even that could be scary. When you get old you want one thing -- no change. You have to scold yourself. I made a souped-up C64 -- didn't really break any new ground, but maybe it enables A.I. or robots. CIA made everything clusterfucked. I don't like clusterfucked environments to work with -- that hell... nasty. Maybe a nonprogrammer doesn't understand what clusterfucked means for programming environments.

visarga 14y ago

I like your article. I'd like to try. By the way, what is the easiest way to use deep learning? Is there a hello-world example? I've been following RBMs for years but I never attempted to train one. It seemed too complex. I've used command line tools like Vowpal Wabbit with success, though. So, is there an RBM implementation as accessible as VW?

snippyhollow 14y ago
For Matlab, there are several implementations, including the DeepLearningToolbox: https://github.com/rasmusbergpalm/DeepLearnToolbox https://github.com/rasmusbergpalm/DeepLearnToolbox For Python there is the great Theano, and the RBM implementations of MORB https://github.com/benanne/morb https://github.com/benanne/morb
deleted 14y ago
[deleted]

MichailP 14y ago

Is it possible to use similar algos for meshing (used in finite element analysis)? Shape recognition wouldnt be needed as the first step, since CAD files are input in FEA.

klintcho 14y ago

Great article! I think i will try this approach on labeled EMG signals.

platz 14y ago
What is emg?

deleted 14y ago

[deleted]

lrem 14y ago

The technique looks intriguing. Are you aware of any implementation that does not require Matlab (nor its competitors)?

abrichr 14y ago
Theano [1] is developed at the LISA lab led by Yoshua Bengio at l'Université de Montréal. Pylearn2 [2] is developed by the same group, and is built on top of Theano. [1] http://deeplearning.net/software/theano/ http://deeplearning.net/software/theano/ [2] http://github.com/lisa-lab/pylearn2 http://github.com/lisa-lab/pylearn2
- felixr 14y ago
  Theano/Pylearn2 provide RBM, DBN, DAE, ... But do they have an implementation for sparse filtering?