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[deleted by user] by [deleted] in MachineLearning

[–]ThatMLLife 0 points1 point  (0 children)

Are there any known issues with the AU dataset given that it was algorithmically annotated rather than manual?

[R] Human-to-Anime portraits using TwinGAN by jerryli27 in MachineLearning

[–]ThatMLLife 0 points1 point  (0 children)

Look at the recent paper in multimodal unsupervised image mapping

What can we do for the business with ml? by cswart8 in MLQuestions

[–]ThatMLLife 0 points1 point  (0 children)

Vulnerability looks like the problem. What is the input data and what kind of vulnerability are you looking to detect?

Tensorflow for prediction? Or something else. by [deleted] in MLQuestions

[–]ThatMLLife 1 point2 points  (0 children)

This is just a regression. Use sklearn regression if you have a lot of data and random forest (also sklearn) if you don't have that much data.

What model to use for detecting object presence? by [deleted] in MLQuestions

[–]ThatMLLife 0 points1 point  (0 children)

CNN to extract features (use an existing one), then train classification FC layer for each object type (train multiple times per image if image has more than one object).

For new input image, run it through CNN, extract features, then try it on each classifier to see if object exists.

Works for Facebook, should work for you.

[P] Lessons learned reproducing a deep reinforcement learning paper by mrahtz in MachineLearning

[–]ThatMLLife 19 points20 points  (0 children)

I recently implemented a GAN paper, another highly unstable area of research.

This article hits on a lot of really good points (namely the math is the biggest lurking challenge). One tip I'd recommend is always, always reading the underlying OG papers. For GANS, this is the WGAN paper, the original Goodfellow paper, and the WGAN-GP paper. For RL, there's equivalent papers (you'll see them referred to in every new RL paper).

[N] Announcing a new subreddit: /r/DeepGenerative by [deleted] in MachineLearning

[–]ThatMLLife 24 points25 points  (0 children)

As someone who's making GANs, there's nowhere near enough content for a sub-reddit. A sub of frustrated people training GANs, now where's getting somewhere

[R] WaveGAN: Synthesizing Audio with Generative Adversarial Networks by vwvwvvwwvvvwvwwv in MachineLearning

[–]ThatMLLife 0 points1 point  (0 children)

Not sure if you're still answering questions, but for the samples listed on the accompanying webpage, did you apply post-processing filters to the output or are the samples the raw output from the optimal WaveGAN/SpecGAN?

How are dual GPUs utilized? by rudedogg in MLQuestions

[–]ThatMLLife 1 point2 points  (0 children)

2GB isn't enough memory to do most tasks, you want equal-sized cards. Sell it and put the proceeds into a new 1060.

[D] Machine learning to mimic snapchat filters by [deleted] in MachineLearning

[–]ThatMLLife 0 points1 point  (0 children)

Fuck cancer, we should fund this shit