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Krishna Pradeep proslijedio/la je Tweet
People are biased. Data is biased, in part because people are biased. Algorithms trained on biased data are biased. But learning algorithms themselves are not biased. Bias in data can be fixed. Bias in people is harder to fix.https://www.nytimes.com/2019/12/06/business/algorithm-bias-fix.html#click=https://t.co/lkLEpfDwF9 …
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Krishna Pradeep proslijedio/la je Tweet
Started reading through this book (pictured here with an edge TPU and my new assistant). It's a great resource for production deep learning best practices -- covers TF Lite, TF.js, CoreML, and more. https://www.amazon.com/Practical-Learning-Cloud-Mobile-Hands/dp/149203486X …pic.twitter.com/cmk5dqM4QH
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Krishna Pradeep proslijedio/la je Tweet
3-Step Transfer Learning using
@huggingface Transformers and@PyTorchLightnin training framework. A step-by-step post by@_willfalcon https://towardsdatascience.com/lit-bert-nlp-transfer-learning-in-3-steps-272a866570db …pic.twitter.com/Quz9MOKHYK
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Krishna Pradeep proslijedio/la je Tweet
We also introduce a technique [https://arxiv.org/abs/1911.11134 ] for training neural networks that are sparse throughout training from a random initialization - no luck required, all initialization “tickets” are winners.pic.twitter.com/fA7VmXrj20
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