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The problem: we have a *lot* of benchmark functions, with more to come. Until we've been running for a while we don't want to wantonly disable benchmarks. So, we need to find a way to surface individu…
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Do you mind to explain what is the train/eval/test data in this project? And why they have same length ?
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Hello Houssam,
First of all I'd like to thank you for sharing the code and the amazing paper you and your fellow researchers produced. I have a few questions regarding the implementations, it would…
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Hello,
I've decided to play with --feature_mask functionality today and taken a look into code to find a place where I can adjust it for my purposes. And I was quite intrigued with this piece of [c…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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Is there any document file for theory of unsupervised learning whose code are present in Jupyter Notebook of chapter 8 as it is not present in book ?
also can you please explain me image segmentat…
nitml updated
6 years ago
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AWS re:invent 2018 機械学習関連セッションのプレゼン資料・動画一覧 #reinvent
gistで主に作業してる。
https://gist.github.com/mayosuke/b4402e2fdc48828b3d282d672599cefc
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Not even fancy ones, just something that runs at least a happy path with a small amount of text to make sure everything is valid.
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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Fchollet and contributors -- Thank you so much for what you have put together. Keras has significantly helped me.
Recently, Restricted Boltzmann Machines and Deep Belief Networks have been of deep i…