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Video Walkthrough: Summary: DECENTRALIZED AI!!!!!!!
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TLDR: I've recently wondered about whether the Universe is truly random, and I thought I'd write down a few thoughts on the subject.
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TLDR: What if it was possible for surveillance to only invade the privacy of criminals or terrorists, leaving the innocent unsurveilled?
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TLDR: In this blogpost, we're going to prototype (from scratch) and learn the intuitions behind DeepMind's recently proposed Decoupled Neural Interfaces Using Synthetic Gradients paper.
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TLDR: In this blogpost, we're going to train a neural network that is fully encrypted during training (trained on unencrypted data).
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EDIT: A complete revamp of PyTorch was released today (Jan 18, 2017), making this blogpost a bit obselete.
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If you passed high school math and can hack around in Python, I want to teach you Deep Learning.
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Summary: I learn best with toy code that I can play with.
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Summary: I learn best with toy code that I can play with.
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Summary: Dropout is a vital feature in almost every state-of-the-art neural network implementation.