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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...
New
The latest blog posts to take off on Hacker News. 6,337 posts.
6002
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...
6003
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...
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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.
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Music Language Modeling with Recurrent Neural Networks
Great prices on a large selection of domains. Find the pefect domain for your new startup.
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Microsoft demos 'holoportation' 3D presence tech with HoloLens
Holoportation is a new type of 3D capture technology that allows high-quality 3D models of people to be reconstructed, compressed and transmitted anywhere in the world in real time. When combined with mixed reality displays such as HoloLens, this technology allows users to see, hear, and interact with remote…
6008
Learning from Tay’s introduction
As many of you know by now, on Wednesday we launched a chatbot called Tay. We are deeply sorry for the unintended offensive and hurtful tweets from Tay, which do not represent who we are or what we stand for, nor how we designed Tay. Tay is now offline and we’ll look to bring Tay...
6009
A way to deal with enormous branching factors in strategy games
When you play Chess, there are on average something like 30 different moves you can make each turn. In other words, the branching factor is ...
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Machine Learning in the Cloud, with TensorFlow
Posted by Slaven Bilac, Software Engineer, Google ResearchAt Google, researchers collaborate closely with product teams, applying the latest advanc...
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Python, Machine Learning, and Language Wars (2015)
This has really been quite a journey for me lately. And regarding the frequently asked question “Why did you choose Python for Machine Learning?” I guess it…
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Darknet: C and CUDA open source neural network framework
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do right here:
6014
Another Way of Looking at Lee Sedol vs. AlphaGo
Imagine a contest in which we are going to pit man against machine. But instead of measuring who is best in playing the game of ‘Go’ we are going to measure who is fastest. In the one corner: Human, all of 175 pounds of extremely well trained runner. And in the other corner, a Formula 1 racecar with a remote control…
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What we learned in Seoul with AlphaGo
DeepMind's AlphaGo took on and defeated legendary Go player, Lee Sedol, marking a major milestone for artificial intelligence.
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Deep Q-Learning: Space Invaders
Ever since I learned about neural networks playing Atari games I wanted to reimplemnted it and learn how it works. Below you can see an AI playing Space Invaders. I trained it during my batch at Recurse Center on little over 50M frames.
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Train your own image classifier with Inception in TensorFlow
Posted by Jon Shlens, Senior Research ScientistAt the end of last year we released code that allows a user to classify images with TensorFlow model...
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AlphaGo’s ultimate challenge: a five-game match against Lee Sedol
Game 5 - March 15, 2016After a loss in Game 4, and a move early on that looked like a mistake, but could have been a creative and effective new move, AlphaGo won Game 5 …
6021
Machine Learning in Rust
This post is aimed at readers who are familiar with Rust and want some insight into why it is great for machine learning.
6022
Four pitfalls of hill climbing
An animated look at local maxima, novelty effects, differentiation, emergent maxima.
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How to Code and Understand DeepMind's Neural Stack Machine in Python
A machine learning craftsmanship blog.
6024
Voice Recognition and Text to Speech in Python
It’s tough for an aspiring Iron Man to work on creating their personal AI assistant on the weekends. Like any other time-pressured inventor without a PhD in computer science and linguistics, …
6025
Google launches voice typing in Google Docs
Edit and format your documents — all without touching your keyboard.
6026
Google Cloud Vision API enters Beta
Today, we're announcing the beta release of Google Cloud Vision API . Now anyone can submit their images to the Cloud Vision API to understand the contents of those images — from detecting everyday objects (for example, “sports car,” “sushi,” or “eagle”) to reading text within the image or identifying product logos.
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Running your models in production with TensorFlow Serving
Posted by Noah Fiedel, Software EngineerMachine learning powers many Google product features, from speech recognition in the Google app to Smart Re...
6028
On Google's self-driving car acident rates
Hot on the heels of my [CES Report](http://ideas.4brad.com/ces-2016-robocar-news) is the release of the latest article from Chris Urmson on [The View from the Front Seat of the Google Car](https://medium.com/@chris_urmson/the-view-from-the-front-seat-of-the-google-self-driving-car-chapter-4-d707b9e925d3#.6okyykxyq)…
6029
Deep Learning in Rust
Meta Edit 2/2/2016: I wrote this post when deeplearn-rs was only a week old. This is more of a journal post where I reflect on things. To…
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How convolutional neural networks see the world
Note: this post was originally written in January 2016. It is now very outdated. Please see this example of how to visualize convnet filters for an up-to-date alternative, or check out chapter 9 of my book "Deep Learning with Python (2nd edition)".