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The latest blog posts to take off on Hacker News. 250 posts.
Google supercharges machine learning tasks with TPU custom chip
Machine learning provides the underlying oomph to many of Google’s most-loved applications. In fact, more than 100 teams are currently using machine learning at Google today, from Street View, to Inbox Smart Reply, to voice search.
Singular Value Decomposition Part 2: Theorem, Proof, Algorithm
I’m just going to jump right into the definitions and rigor, so if you haven’t read the previous post motivating the singular value decomposition, go back and do that first. This post will be theorem, proof, algorithm, data. The data set we test on is a thousand-story CNN news data set. All of the data, code, and…
SyntaxNet in Context: Understanding Google's New TensorFlow NLP Model
Yesterday, Google open sourced their Tensorflow-based dependency parsing library, SyntaxNet. The library gives access to a line of neural network parsing models published by Google researchers over the last two years. I've been following this work closely since it was published, and have been looking forward to the…
Finding Similar Music Using Matrix Factorization
In a previous post I wrote about how to build a ‘People Who Like This Also Like …’ feature for displaying lists of similar musicians. My goal was to show how simple Information Retrieval techniques can do a good job calculating lists of related artists. For instance, using BM25 distance on The Beatles shows the most…
Introducing FBLearner Flow: Facebook's AI Backbone
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Number plate recognition with Tensorflow
Over the past few weeks I’ve been dabbling with deep learning, in particular convolutional neural networks . One standout paper from recent times is Google’s Multi-digit Number Recognition from Street View . This paper describes a system for extracting house numbers from street view imagery using a single end-to-end…
Deep Language Modeling for Question Answering Using Keras
Search BenchGecko research notes, methodology pages, benchmark sources, model rankings, pricing, compute, and company intelligence.
Neural Networks Are Impressively Good at Compression
I’m trying to get into neural networks. There have been a couple big breakthroughs in the field in recent years and suddenly my side project of messing around with programming languages seeme…
DeepMind moves to TensorFlow
Posted by Koray Kavukcuoglu, Research Scientist, Google DeepMindAt DeepMind, we conduct state-of-the-art research on a wide range of algorithms, fr...
A Deep Learning USB Stick
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Markov Chain Monte Carlo Sampling
📍 This article has moved. Read the current version at This is the third part in a short series of blog posts about quantum Monte Carlo (QMC). The series is derived from an introductory lecture I ga…
How Kalman Filters Work
This articles describes how Kalman filters and other state estimation techniques work, focusing on building intuition and pointing out good implementation techniques.
Jarvis: an Amazon Echo clone in your browser
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Building an IBM Watson-powered AI Chatbot in 50 lines of code
Developing a speech-to-text bot using IBM’s Supercomputer.
David J.C. MacKay, Machine Learning pioneer, dies
Thank you so much to lots of lovely friends who have offered to visit me in hospital! Ramesh and I are wanting to keep life really simple...
Cruise
There is a long and sordid history of people coming out of the woodwork with bogus claims when huge amounts of money are on the line. This has just happened to Cruise, which is run by my friend...
Announcing TensorFlow 0.8 – now with distributed computing support
Posted by Derek Murray, Software EngineerGoogle uses machine learning across a wide range of its products. In order to continually improve our mode...
Keras 1.0 – Python deep learning framework
Keras was initially released a year ago, late March 2015. It has made tremendous progress since, both on the development front, and as a community.
Music Language Modeling with Recurrent Neural Networks
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