The latest blog posts to take off on Hacker News. 326 posts.
In the fall of 2016, I was a Teaching Fellow (Harvard's version of TA) for the graduate class on "Advanced Topics in Data Science (CS209/109)" at Harvard University. I was in-charge of designing the class project given to the students, and this tutorial has been built on top of the project I designed for the class.
A collection of thoughts, ideas and unsolicited opinion from Made by Many: articles, reflections, talks and interviews from the people doing the work.
Posted by Hui Fang, Software Engineer, Machine PerceptionMachine learning (ML) excels in many areas with well defined goals. Tasks where there exis...
In this tutorial you will learn how to apply Optical Character Recognition (OCR) to images using PyTesseract, Python, and OpenCV.
I know it’s a weird way to start a blog with a negative, but there was a wave of discussion in the last few days that I think serves as a good hook for some topics on which I’ve been thinking recently. It all started with a post in the Simply Stats blog by Jeff Leek on the caveats of using deep learning in the small…
Using CPUs instead of GPUs for deep learning training in the cloud is cheaper because of the massive cost differential afforded by preemptible instances.
Summary: This post addresses some high-level questions like: Longer term, how much of the verification of Intelligent Autonomous Systems can be done with just Machine Learning (ML)? Should most req…
I experimented with generating faces of cats using Generative adversarial networks (GAN). I wanted to try DCGAN, WGAN and WGAN-GP in low and higher resolutions. I used the CAT dataset (yes this is …
Or, for fucks sake, DL people, leave language alone and stop saying you solve it.
After seeing the poor feedback of Watson in Bridge Crew, I decided to take my four digital assistants for a spin. After 21 questions across four assistants, I learned that Alexa cannot give basic information about Amazon Prime videos, none of them can properly understand which movie you're looking f
We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics. Here’s an example...
How we beat the state of the art to build a real-life A.I. app.
OpenAI Universe was very exciting when it first came out. With Universe, it was suddenly possible to train AI to play Flash games, book flights online, and perform various other real-world tasks. Unfortunately, Universe never really took off in the AI world. I don’t know why others aren’t using Universe, but I can…
The field of machine learning and artificial intelligence is making rapid progress. Many people are starting to ask what a world with intelligent computers will look like. But what is the ratio of hype to real progress? What kinds of problems have been well solved by current machine learning techniques, which ones are…
Launch your business with WordPress or Website Builder using AI tools, templates, and reliable hosting.
Posted by Jonathan Huang, Research Scientist and Vivek Rathod, Software Engineer (Cross-posted on the Google Open Source Blog) At Google, we develo...
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