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The most popular blog posts about ai & machine learning on Hacker News. 326 posts.
What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such a…
Posted by Michael Ringgaard, Software Engineer and Rahul Gupta, Research ScientistUntil recently, most practical natural language understanding (NL...
I wrote Flare, a Dynamic Neural Net library in Clojure.
Learn Machine Learning (ML) and be ahead of the pack in the Software industry. Machine Learning is a sub-field of Artificial Intelligence (A.I), which is heavily used in modern software systems. Machine Learning algorithms can improve software (a robot) and it's ability to solve problems through gaining experience and…
In a previous post, we described the details of NSynth (Neural Audio Synthesis), a new approach to audio synthesis using neural networks. We hinted at furthe...
Meet Fathom, a mini-language for writing semantic extractors, that you can use client- or server-side to extract meaning from the content of a web page. Scoop up all those ideas ...
The BAIR Blog
Visual aesthetics are very personal, often subconscious, and hard to express. In a world with an overload of photographic content, a lot of time and effort is spent manually curating photographs…
By Marc Pollefeys, Director of Science, HoloLens It is not an exaggeration to say that deep learning has taken the world of computer vision, and many other recognition tasks, by storm. Many of the most difficult recognition problems have seen gains over the past few years that are astonishing. Opens in a new tab…
A few months ago, we showed how effectively an LSTM network can perform text transliteration .
Summary: This post addresses some high-level questions like: Longer term, how much of the verification of Intelligent Autonomous Systems can be done with just Machine Learning (ML)? Should most req…
TL;DR A logic vulnerability, dubbed ReBreakCaptcha, which lets you easily bypass Google’s ReCaptcha v2 anywhere on the web. Overview Back in 2016, I started poking around to see how hard it w…
This post is just a quick note on some of the pitfalls we encounter when dealing with high-dimensional problems, even when working with something as simple as a Gaussian distribution. Last week I wrote about mixup [https://www.inference.vc/mixup-data-dependent-data-augmentation/] a new data-augmentation...
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Exploring the relationship between singular value decomposition and principal component analysis.
Lecture 1: Tutorial on Deep Learning I Lecture 2: Tutorial on Deep Learning II Lecture 3: Tutorial on Deep Learning III Lecture 4: Tutorial on Deep Learning IV
Mapillary Vistas, the world’s largest and most diverse publicly available, pixel-accurately and instance-specifically annotated street-level imagery dataset, will empower autonomous mobility and transport at the global scale.
After open sourcing Caffe2 at F8 last month, today we are are excited to share our recent work on low precision 16 bit floating point (FP16) training in collaboration with NVIDIA.
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Posted by Sergey Levine, Faculty Advisor and Pierre Sermanet, Research Scientist, Google Brain TeamMachine learning can allow robots to acquire com...
Virtual reality lets you experience amazing things—from exploring new worlds, to painting with trails of stars, to defending your fleet to save the world. But, headsets …
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