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Random Forests for Complete Beginners
The definitive guide to Random Forests and Decision Trees.
New
The latest blog posts to take off on Hacker News. 3,092 posts.
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Clojure from Scratch to GPU: A Simple Neural Network Training API
The stage has been set for wrapping up the simplest version of a complete neural network API, and its key part that offers the entry for the /learning/ funct...
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YOLO: Real-Time Object Detection
You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Pascal Titan X it processes images at 30 FPS and has a mAP of 57.9% on COCO test-dev.
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How I Eat for Free in NYC Using Python, Automation, AI, and Instagram
Living and working in the big apple comes with big rent.
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Creating a Starcraft AI – Part 22: Caveat Implementor
First part of this series | Previous | Next |Index In the latter part of the last episode, I outlined two problems I want to solve next. The first is to weigh in the direction of my target when fin…
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The Illustrated Word2vec
Discussions: Hacker News (347 points, 37 comments), Reddit r/MachineLearning (151 points, 19 comments) Translations: Chinese (Simplified), French, Korean, Portuguese, Russian “There is in all things a pattern that is part of our universe. It has symmetry, elegance, and grace - those qualities you find always in that…
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Machine Learning: Full-Text Search in JavaScript – Relevance Scoring (2015)
Full-text search is a powerful machine learning algorithm, especially relevant for web developers. This article teaches you the basics, from scratch.
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Remastering Star Trek: Deep Space Nine with Machine Learning
The site for the Remako Mod, a Final Fantasy VII mod that uses AI to improve the graphics of this classic JRPG.
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Backpropogation Is Just Steepest Descent with Automatic Differentiation (2013)
Preface The intended audience of this article is someone who knows something about Machine Learning and Artifical Neural Networks (ANNs) in particular and who recalls that fitting an ANN required a…
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Gwern’s AI-Generated Poetry
Gwern has answered my prayers and taught GPT-2 poetry. GPT-2 is the language processing system that OpenAI announced a few weeks ago. They are keeping the full version secret, but have released a s…
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Principal component analysis: pictures, code and proofs (2018)
The code used to generate the plots for this post can be found here.
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How Transformers Work – Model Used by Open AI and DeepMind
Transformers are a type of neural network architecture that have been gaining popularity. Transformers were recently used by OpenAI in…
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Viewing Matrices and Probability as Graphs
Today I'd like to share an idea. It's a very simple idea. It's not fancy and it's certainly not new. In fact, I'm sure many of you have thought about it already. But if you haven't—and even if you have!—I hope you'll take a few minutes to enjoy it with me. Here's the idea: Every matrix corresponds to a graph. So…
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Implementing a Neural Network from Scratch in Python
A simple explanation of how they work and how to implement one from scratch in Python.
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Understanding Convolutions (2014)
neural networks , convolutional neural networks , convolution , math , probability
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Deep Learning from Scratch to GPU: CUDA and OpenCL
We generalize the network code and run it on the GPU. On an Nvidia GPU with CUDA, and on an AMD GPU with OpenCL. Even more - we mix both CUDA and OpenCL, jus...
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Humans who are not concentrating are not general intelligences
Recently, OpenAI came out with a new language model that automatically synthesizes text, called GPT-2. It’s disturbingly good. You can see some examples (cherry-picked, by their own admissio…
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Deep Learning on the GPU in Clojure from Scratch: Sharing Memory
Sharing and reusing memory buffers is inescapable if we want high performance. It is a sharp but powerful tool.
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OpenAI Trains Language Model, Mass Hysteria Ensues
[latexpage] On Thursday, OpenAI announced that they had trained a language model. They used a large training dataset and showed that the resulting model was useful for downstream tasks where training data is scarce. They
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Neural Networks Are Essentially Polynomial Regression (2018)
You may be interested in my new arXiv paper, joint work with Xi Cheng, an undergraduate at UC Davis (now heading to Cornell for grad school); Bohdan Khomtchouk, a post doc in biology at Stanford; a…
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Incremental Learning – A continuous learning approach (2018)
A few days back I read an article about how Bitcoin’s price can be sufficiently explained by Metcalfe’s law. As you read through the post, resist the temptation to click the links to learn more about Bitcoin, Metcalfe’s law etc. (Maybe you should read about Bitcoin if you have not heard of it). I have provided all the…
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Einsum Is All You Need – Einstein Summation in Deep Learning (2018)
Tim Rocktäschel — Co-Founder and Chief Scientist of Recursive; Professor of AI at UCL. Artificial General Intelligence, Open-Endedness, and Recursive Self-Improvement.