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Shareable Jupyter Notebooks That Run on Free Cloud GPUs
Gradient Community Notebooks provide free GPUs with pre-configured environments for machine learning and deep learning projects.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 262 posts.
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Taking ML to production with Rust
Hands-on technical leader, Rust expert.
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Google open sourced GPipe, a library for training large ML models
Posted by Yanping Huang, Software Engineer, Google AI Deep neural networks (DNNs) have advanced many machine learning tasks, including speech rec...
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Interpretable Machine Learning
Machine learning is part of our products, processes, and research. But computers usually don’t explain their predictions , which can cause many problems, ranging from trust issues to undetected bugs. This book is about making machine learning models and their decisions interpretable.
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Logistic Regression from Bayes’ Theorem
In this post we’ll explore how we can derive logistic regression from Bayes’ Theorem. Starting with Bayes’ Theorem we’ll work our way to computing the log odds of our problem and the arrive at the inverse logit function. After reading this post you’ll have a much stronger intuition for how logistic
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The BeagleBone AI is Available
BeagleBoard.org Foundation is a Michigan, USA-based 501(c)(3) non-profit corporation existing to provide education in and collaboration around the design and use of open-source software and hardware in embedded computing.
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Combine statistical and symbolic artificial intelligence techniques
MIT researchers show that merging statistical and symbolic artificial intelligence promises to enable computers to reason more like humans. Their hybrid model can learn object-related concepts like color and shape, and leverage that knowledge to interpret complex relationships.
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Exploring Weight Agnostic Neural Networks
Posted by Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo When training a neural network to accompl...
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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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OpenCV-Python Cheat Sheet: From Importing Images to Face Detection
What is OpenCV-Python? OpenCV is an open source computer vision and machine learning library. It has 2500+ optimized algorithms—a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. It has many interfaces, including Python, Java, C++,… Continue reading OpenCV-Python…
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Childhood's End: The digital revolution has turned into something else
To those seeking true intelligence, autonomy, and control among machines, the domain of analog computing, not digital computing, is the place to look.
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A sane introduction to maximum likelihood estimation and maximum a posteriori
It is frustrating to learn about principles such as maximum likelihood estimation (MLE), maximum a posteriori (MAP) and Bayesian inference in general. The main reason behind this difficulty, in my opinion, is that many tutorials assume previous knowledge, use implicit or inconsistent notation, or are even addressing a…
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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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Adventures Building a Self-Driving RC Car
Having read some amazing books on Machine Learning, I had been looking for opportunities to apply ML from first principles in the real world. That was what got me curious about the wonderful Donkey Car project. The project is essentially a how-to guide to building your own RC car which can drive itself around a track…
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New chips for machine intelligence
This note summarises details of some of the new silicon chips for machine intelligence. Its aim is to distil the most important implementation and architectural details (at least those that are currently available), to highlight the main differences between them. I’m focusing on chips designed for training since they…
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We improved Tensorflow Serving performance by over 70%
In this blog, we’ll focus on techniques that improve latency by optimizing both the prediction server and client.
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Solving the Rubik’s cube with a robot hand
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are trained entirely in simulation, using the same reinforcement learning code as OpenAI Five paired with a new technique called Automatic Domain Randomization (ADR). The system can handle situations it…
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Neural ODE's: Understanding how they model data
In this blogpost I explore how ODE’s can be used to solve data modelling problems. I take a deep dive into the data modelling problem at hand and present ODE...
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ML from Scratch, Part 2: Logistic Regression (2018)
In this second installment of the machine learning from scratch we switch the point of view from regression to classification: instead of estimating a number, we will be trying to guess which of 2 possible classes a given input belongs to. A modern example is looking at a photo and deciding if its a cat or a dog.
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Graph Convolutional Networks (2016)
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
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Astrophotography with Night Sight on Pixel Phones
Posted by Florian Kainz and Kiran Murthy, Software Engineers, Google Research Taking pictures of outdoor scenes at night has so far been the dom...
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BodyPix: Real-Time Person Segmentation in the Browser with Tensorflow.js
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
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Introduction to Bayesian Filter
Restate Some Basic Concepts and Math in Bayesian Filter
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Avoid Artificial Stupidity
The first step to AI - data democratisation