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New
The latest blog posts to take off on Hacker News. 97 posts.
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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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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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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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Tool AIs want to be agent AIs
AIs limited to pure computation (Tool AIs) supporting humans, will be less intelligent, efficient, and economically valuable than more autonomous reinforcement-learning AIs (Agent AIs) who act on their own and meta-learn, because all problems are reinforcement-learning problems.
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Natural Language Corpus Data: Beautiful Data
Data files are derived from the Google Web Trillion Word Corpus , as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium.
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A Visual and Interactive Guide to the Basics of Neural Networks
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by training and I’ve had…
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A Basic Introduction to Neural Networks (2007)
Although the mathematics involved with neural networking is not a trivial matter, a user can rather easily gain at least an operational understanding of their structure and function.
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This AI Boom Will Also Bust
Imagine an innovation in pipes.
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Finding the genre of a song with Deep Learning
A step-by-step guide to make your computer a music expert.
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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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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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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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Towards deep symbolic reinforcement learning
Towards deep symbolic reinforcement learning Garnelo et al, 2016 Every now and then I read a paper that makes a really strong connection with me, one where I can’t stop thinking about the imp…
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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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Automatically grading multiple choice exams from photos using Python and OpenCV
Discover how to build a bubble sheet multiple choice scanner and test grader using Optical Mark Recognition (OMR) along with Python, OpenCV, computer vision
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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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Where will the next major advance towards general purpose AI come from?
Artificial Intelligence (AI) is making progress in great strides, or at least it appears so! Almost no week passes by without some major announcements of new challenges solved by AI technology or new products powered by AI. Indeed many quantifiable factors attest an unprecedented level of activity: capital…
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Gorgonia: a library like Theano or TensorFlow, mainly written in Go
I released Gorgonia on Thursday. Gorgonia is a library like Theano or TensorFlow, but mainly written in Go. It provides the necessary primitives for creating and executing neural networks and machine learning algorithms. According to cloc, these are the stats…
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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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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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