Cincinnatus

rdcolema · 2017-02-06T12:31:25+00:00

Style: http://imgur.com/cujG4UR Content: http://imgur.com/ojB80y5

rdcolema · 2017-02-03T01:04:12+00:00

No problem. I've used those steps as a building block for a few different slack apps and it's pretty cool once you get it working -- feel free to DM me with questions if you go that route.

rdcolema · 2017-02-02T20:11:35+00:00

https://www.fullstackpython.com/blog/build-first-slack-bot-python.html

rdcolema · 2017-01-26T12:53:47+00:00

Content: http://imgur.com/sezMlf2 Style: http://imgur.com/AEdVw0e

rdcolema · 2017-01-23T02:08:56+00:00

Style: http://imgur.com/sOo391g

rdcolema · 2017-01-04T16:26:35+00:00

Not at the moment (that I know of). The paper's authors give some hints on how they did it in that blog post linked above, but I haven't seen any public implementations that include text.

rdcolema · 2017-01-04T13:09:35+00:00

Sounds a bit like wavenet: https://deepmind.com/blog/wavenet-generative-model-raw-audio/

Using this to make a coherent voice assistant would be quite the feat, but here are a few python implementations of the wavenet paper that could get you as far as mimicking voices:

Tensorflow version: https://github.com/ibab/tensorflow-wavenet

Keras version: https://github.com/basveeling/wavenet

These examples use the VCTK speech dataset, which is common for projects like this, but you can substitute your own audio if you have enough of it.

rdcolema · 2016-12-01T00:18:54+00:00

battle corgi

rdcolema · 2016-11-29T18:23:01+00:00

https://developers.googleblog.com/2016/11/tensorflow-0-12-adds-support-for-windows.html

rdcolema · 2016-11-27T05:45:14+00:00

https://github.com/rdcolema/keras-neural-style-transfer/blob/master/examples/content/lucy.JPG

rdcolema · 2016-11-27T05:34:55+00:00

This thread should have most of the highlights on Windows support: https://github.com/tensorflow/tensorflow/issues/17

It's now possible to run GPU on Windows using their custom build instructions. Not sure how long it will be until a more user-friendly option is available.

rdcolema · 2016-11-24T13:36:42+00:00

Unfortunately no, but if you're really committed to getting up and running with GPU on windows, most of your options are discussed in this thread: https://github.com/tensorflow/tensorflow/issues/17

Basically, you can now build a wheel on windows and pip install with GPU support that way. It's a bit of a hassle, but it works.

rdcolema · 2016-11-07T01:49:13+00:00

style image

rdcolema · 2016-08-31T00:20:38+00:00

To get running on Windows, I landed on this tutorial after struggling with about 5 others:

http://www.alanzucconi.com/2016/05/25/generating-deep-dreams/

The short answer is that (for me at least) it was a lot easier to get caffe installed on Windows by using a virtual machine. You almost definitely won't be able to utilize GPU later if you go this route, but you can still get pretty good results running on CPU if you're patient.

I ended up recording a few other notes on my installation/usage here if that helps: https://github.com/rdcolema/deepdream-neural-style-transfer

rdcolema

TROPHY CASE

daily reddit gold goal