warn(deprecation_msg)

[iarroyof]

Hi...

I just downloaded the DL4J examples for the first time. It went fine except because I think the training is so slow (Having a core i7 i think so).

This is the periodically interrupted output:

o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 61, cost = -0.104347825 -27914
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 62, cost = -0.10401283 -2400
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 63, cost = -0.103692055 -2404
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 64, cost = -0.1033735 -2309
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 65, cost = -0.103080384 -2374
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 66, cost = -0.10278712 -2275
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 67, cost = -0.102469064 -2364
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 68, cost = -0.102169044 -2248
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 69, cost = -0.10189368 -2251
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main ConjugateGradient: At iteration 70, cost = -0.101609245 -2334
o.d.p.NeuralNetPlotter - Rendering Matrix histograms...
o.d.p.NeuralNetPlotter - Std out [['/tmp/95be02f1-7e81-41d1-94a8-306772499341', 'W', '/tmp/1009d4ec-c225-497a-b274-1cc02fb0c8c5', 'hbias', '/tmp/1c99ad37-2b9d-4b5e-9a38-ff3b45aaad14', 'vbias', '/tmp/4b052f0f-aa88-4ce3-9dcf-5367308b1ff6', 'w-gradient', '/tmp/134610eb-1a43-49d3-a07d-9781547f2a7c', 'hbias-gradient', '/tmp/ee3b00ef-1911-4c90-bd87-2f1f424935f3', 'vbias-gradient'], Loading matrix /tmp/95be02f1-7e81-41d1-94a8-306772499341, , Loading matrix /tmp/1009d4ec-c225-497a-b274-1cc02fb0c8c5, , Loading matrix /tmp/1c99ad37-2b9d-4b5e-9a38-ff3b45aaad14, , Loading matrix /tmp/4b052f0f-aa88-4ce3-9dcf-5367308b1ff6, , Loading matrix /tmp/134610eb-1a43-49d3-a07d-9781547f2a7c, , Loading matrix /tmp/ee3b00ef-1911-4c90-bd87-2f1f424935f3, ]
o.d.p.NeuralNetPlotter - [/home/nacho/anaconda/lib/python2.7/site-packages/mpltools-0.2dev-py2.7.egg/mpltools/style/init.py:32: UserWarning: The style module has been integrated into Matplotlib 1.4. This module will be removed in a future release., warn(deprecation_msg)]
o.d.p.NeuralNetPlotter - Rendering hbias /tmp/ab36b5e6-b630-419c-8e4c-ae6b20314431
o.d.p.NeuralNetPlotter - Image closed
o.d.p.FilterRenderer - Rendering frame...

Until I do not close the opened plots, the system does not go after of

o.d.p.NeuralNetPlotter - Rendering Matrix histograms...

Thank you for suggestions.

[agibsonccc]

Hi, This is for debugging purposes. You can disable this by getting rid of
render(10) on the example.

Adam

On Fri, Oct 10, 2014 at 4:25 PM, Nacho Arroyo notifications@github.com
wrote:

Hi...

I just downloaded the DL4J examples for the first time. It went fine
except because I think the training is so slow (Having a core i7 i think
so).

This is the periodically interrupted output:

o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 61, cost = -0.104347825 -27914
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 62, cost = -0.10401283 -2400
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 63, cost = -0.103692055 -2404
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 64, cost = -0.1033735 -2309
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 65, cost = -0.103080384 -2374
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 66, cost = -0.10278712 -2275
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 67, cost = -0.102469064 -2364
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 68, cost = -0.102169044 -2248
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 69, cost = -0.10189368 -2251
o.d.o.s.VectorizedNonZeroStoppingConjugateGradient - main
ConjugateGradient: At iteration 70, cost = -0.101609245 -2334
o.d.p.NeuralNetPlotter - Rendering Matrix histograms...
o.d.p.NeuralNetPlotter - Std out
[['/tmp/95be02f1-7e81-41d1-94a8-306772499341', 'W',
'/tmp/1009d4ec-c225-497a-b274-1cc02fb0c8c5', 'hbias',
'/tmp/1c99ad37-2b9d-4b5e-9a38-ff3b45aaad14', 'vbias',
'/tmp/4b052f0f-aa88-4ce3-9dcf-5367308b1ff6', 'w-gradient',
'/tmp/134610eb-1a43-49d3-a07d-9781547f2a7c', 'hbias-gradient',
'/tmp/ee3b00ef-1911-4c90-bd87-2f1f424935f3', 'vbias-gradient'], Loading
matrix /tmp/95be02f1-7e81-41d1-94a8-306772499341, , Loading matrix
/tmp/1009d4ec-c225-497a-b274-1cc02fb0c8c5, , Loading matrix
/tmp/1c99ad37-2b9d-4b5e-9a38-ff3b45aaad14, , Loading matrix
/tmp/4b052f0f-aa88-4ce3-9dcf-5367308b1ff6, , Loading matrix
/tmp/134610eb-1a43-49d3-a07d-9781547f2a7c, , Loading matrix
/tmp/ee3b00ef-1911-4c90-bd87-2f1f424935f3, ]
o.d.p.NeuralNetPlotter -
[/home/nacho/anaconda/lib/python2.7/site-packages/mpltools-0.2dev-py2.7.egg/mpltools/style/
init.py:32: UserWarning: The style module has been integrated into
Matplotlib 1.4. This module will be removed in a future release.,
warn(deprecation_msg)]
o.d.p.NeuralNetPlotter - Rendering hbias
/tmp/ab36b5e6-b630-419c-8e4c-ae6b20314431
o.d.p.NeuralNetPlotter - Image closed
o.d.p.FilterRenderer - Rendering frame...

Until I do not close the opened plots, the system does not go after of

o.d.p.NeuralNetPlotter - Rendering Matrix histograms...

Thank you for suggestions.

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#84.

[iarroyof]

Thank you Adam.
Where I can modify this?
An apology, I'm too pro novice at this.

[lock]

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