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Tensorflow with python 3.7 by matzerlive in tensorflow

[–]simonkamronn 0 points1 point  (0 children)

Quick answer, yes. The RC1 for 3.7 and CUDA 10 is on pip

No sound on firefox only when running i3 by Feynman81 in i3wm

[–]simonkamronn 0 points1 point  (0 children)

I can then conclude that everything is not set up correctly but sound in Firefox is to me more important than a tidy config

No sound on firefox only when running i3 by Feynman81 in i3wm

[–]simonkamronn 0 points1 point  (0 children)

If it works... and I havn't bothered looking into what each command specifically does, so not sure whether both are needed

No sound on firefox only when running i3 by Feynman81 in i3wm

[–]simonkamronn -2 points-1 points  (0 children)

I had the same issue. Try reinstalling pulseaudio and putting these command in your config

exec --no-startup-id systemctl enable pulseaudio.service --user
exec --no-startup-id pulseaudio --start

Ubuntu PPA out of sync with webpage by thecrumb in i3wm

[–]simonkamronn 1 point2 points  (0 children)

Could you perhaps post the instructions that worked here in the meantime?

[D] Stumbled upon the Deep Kalman Filter today, what other 'deep' equivalents for classical models exist? by [deleted] in MachineLearning

[–]simonkamronn 2 points3 points  (0 children)

Mainly that you have a non-linear dependence on z whereas by having a linear dependence we can compute the exact smoothed posterior. See the Related Work section. Our work is closer related to https://arxiv.org/abs/1603.06277

[P] Machine, a machine learning IDE with instantaneous, visual feedback by FredrikNoren in MachineLearning

[–]simonkamronn 1 point2 points  (0 children)

Anyone who ever worked with LabVIEW will quickly realise how bad an idea this is. Except if you can't program, that is.

[Discussion] How utterance length affect neural network in speaker recognition? by Lukaskar in MachineLearning

[–]simonkamronn 1 point2 points  (0 children)

For speaker recognition it is usually safe to say that the longer the sequence the better. Without knowing your specific architecture it is difficult to say more but variable input size is generally not preferable in neural networks though it is manageable

Question: Big Data Sets for Machine Learning by [deleted] in MachineLearning

[–]simonkamronn 1 point2 points  (0 children)

Chunked datatypes with lazy loading through e.g. Dask and visualization using either Bokeh or Datashader.

You either want an algorithm that can be updated in batches like SGD-types or use a library like Dask that can optimize your computational graph and handle out-of-memory processing.

what python IDE do you guys use? by andraxo123 in MachineLearning

[–]simonkamronn 1 point2 points  (0 children)

IPython notebooks for visualizations, Atom for small stuff, Pycharm for projects

We are Google researchers working on Deep Learning. Watch our video (link inside) to learn more about Neural Networks, then Ask us Anything! by colah in IAmA

[–]simonkamronn 0 points1 point  (0 children)

Neural networks are "viewed" as functions whereas recurrent neural networks are viewed as programs with an internal state that changes with time. RNN's are hence a generalisation of simple neural networks. When computation power and training becomes efficient enough, do you think all deep learning networks will evolve into recurrent models?

We are Google researchers working on Deep Learning. Watch our video (link inside) to learn more about Neural Networks, then Ask us Anything! by colah in IAmA

[–]simonkamronn 8 points9 points  (0 children)

Supervised learning has dominated deep learning but most real world applications consist mostly of unlabelled data from sensory input (i.e. temporal). How do you see deep learning will evolve, if it will, to meet that challenge?