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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 97 posts.
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Superintelligence: The Idea That Eats Smart People
This is the text version of a talk I gave on October 29, 2016, at Web Camp Zagreb [ video ] (45 mins)
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Who Will Command the Robot Armies?
This is the text version of a talk I gave on November 11, 2016, at the Direction conference in Sydney.
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This AI Boom Will Also Bust
Imagine an innovation in pipes.
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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...
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Grokking Deep Learning
A machine learning craftsmanship blog.
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Machine Learning Exercises in Python, Part 1
KOITOTO LOGIN menghadirkan akses cepat, aman, dan praktis untuk pengalaman hiburan online modern dengan navigasi responsif, performa stabil, serta kenyamanan maksimal setiap waktu.
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Learning Machine Learning: A beginner's journey
I have been learning about machine learning and deep learning (ML/DL) for the last year. I think ML/DL is here to stay. I don't think this i...
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How Convolutional Neural Networks Work
Find the rest of the How Neural Networks Work video series in this free online course .
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How to Write a Spelling Corrector
I figured they, and others, could benefit from an explanation. The full details of an industrial-strength spell corrector are quite complex (you can read a little about it here or here ). But I figured that in the course of a transcontinental plane ride I could write and explain a toy spelling corrector that achieves…
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Intel will add deep-learning instructions to its processors
Some of the latest Intel processors support the AVX-512 family of vector instructions. These instructions operate on blocks of 512 bits (or 64 bytes). The benefit of such wide instructions is that even without increasing the processor clock speed, systems can still process a lot more data. Most code today operators…
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Fizz Buzz in Tensorflow
interviewer: Welcome, can I get you coffee or anything? Do you need a break? me: No, I've probably had too much coffee already! interviewer: Great, great. And are you OK with writing code on the...
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A Beginner's Guide to Understanding Convolutional Neural Networks
Engineering at Forward | UCLA CS '19
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Image Kernels explained visually
An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. In this context the…
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Machine Learning in a Year
From being a total ml noob to start using it at work
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Deep Learning Enables You to Hide Screen When Your Boss Is Approaching
Discover how advanced deep learning technologies offer revolutionary screen privacy solutions in the workplace. Learn to safeguard your digital space with ease.
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Open Source Speech Recognition
I’m currently working on the Vaani project at Mozilla, and part of my work on that allows me to do some exploration around the topic of speech recognition and speech assistants. After looking at some of the commercial offerings available, I thought that if we were going to do some kind of add-on API, we’d be best off…
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Some of the most important deep learning papers
Engineering at Forward | UCLA CS '19
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How to Start Learning Deep Learning
Due to the recent achievements of artificial neural networks across many different tasks (such as face recognition, object detection and Go), deep learning has become extremely popular. This post aims to be a starting point for those interested in learning more about it.
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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...
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Why squared error? (2014)
its computational convenience • connections to the Gaussian distribution • differentiability and basis independence • why not squared error • absolute-error methods
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Decoding the Thought Vector
Neural networks have the rather uncanny knack for turning meaning into numbers. Data flows from the input to the output, getting pushed through a series of transformations which process the data into increasingly abstruse vectors of representations. These numbers, the activations of the network, carry useful…
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Video games are essential for inventing artificial intelligence
The most important thing for humanity to do right now is to invent true artificial intelligence (AI): machines or software that can think an...
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Heavy Metal and Natural Language Processing
Edit: Part 2 of this post can be found here , and part 3 here . Most of the code used in these posts is available here .