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The most popular blog posts about ai & machine learning on Hacker News. 262 posts.
Reproducibility is an essential requirement for many fields of research including those based on machine learning techniques. However, many machine learning publications are either not reproducible or are difficult to...
Double descent is a puzzling phenomenon in machine learning where increasing model size/training time/data can initially hurt performance, but then i…
Redirecting to https://www.mukeshmithrakumar.com/blog/deep-learning-with-tf2-probability-and-information-theory/ .
Update as of November 18, 2021: The version of PySyft mentioned in this post has been deprecated. Any implementations using this older version of PySyft are…
Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy, via a new interface library we've developed that connects spaCy to Hugging Face's awesome implementations.
Posted by Sagar Savla, Product Manager, Machine Perception The World Health Organization (WHO) estimates that there are 466 million people globally...
I love services like Amazon Transcribe. They are the kind of just-futuristic-enough technology that excites my imagination the same way that magic does. It’s incredible that we have accurate, automatic speech recognition for a variety of languages and accents, in real-time. There are so many use-cases, and nearly all…
Sharing and reusing memory buffers is inescapable if we want high performance. It is a sharp but powerful tool.
A hands-on guide to natural language processing with Keras. Covers word2vec, sentiment classification, CNNs, RNNs, and LSTMs using the IMDb dataset in Python.
When computer vision detectors are turned loose in the real world, their performance noticeably drops. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset called ObjectNet.
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ATMSeer is an interactive visualization tool for users to see and control algorithms and hyperparameters of machine-learning (AutoML) systems. The work was developed by researchers in the MIT Laboratory for Information and Decision Systems (LIDS), Hong Kong University of Science and Technology (HKUST), and Zhejiang…
SkyMind AI — humanoid robotics and the case for physical AI. Curated rather than complete: deliberate selection, checked content and clear structure…
How Instacart uses Machine Learning to spot lost demand in its fulfillment chain
