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New
The latest blog posts to take off on Hacker News. 3,092 posts.
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An Adversarial Review of “Adversarial Generation of Natural Language”
Or, for fucks sake, DL people, leave language alone and stop saying you solve it.
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I ask 100 information questions to four digital assistants
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
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How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
How we beat the state of the art to build a real-life A.I. app.
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Why I’m Remaking OpenAI Universe
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…
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Real name policies and ruling the world
Launch your business with WordPress or Website Builder using AI tools, templates, and reliable hosting.
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Neural Translation of Musical Style
Can we teach a neural network to perform like a human?
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Improving Stack Overflow jobs search with machine learning and R
A journey into making Stack Overflow job search results relevant to you
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How Bayesian Inference Works (2016)
Bayesian inference is a way to get sharper predictions from your data. It’s particularly useful when you don’t have as much data as you would like and want to juice every last bit of predictive strength from it.
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Principal Component Analysis Explained Visually (2015)
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It's often used to make data easy to explore and visualize.
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Which GPU(s) to Get for Deep Learning
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
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Google Home: An Insight Into a 4-Year-Old’s Mind
How Google Home provides an interesting insight into the curiosity of a 4-year-old.
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Understanding deep learning requires re-thinking generalization
Understanding deep learning requires re-thinking generalization Zhang et al., ICLR’17 This paper has a wonderful combination of properties: the results are easy to understand, somewhat surpri…
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Empirical Bayes for multiple sample sizes
The James-Stein Estimator with unequal variances
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Neuralink and the Brain's Magical Future
I knew the future would be shocking but this is a whole other level.
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How people talk about marijuana on Reddit: a natural language analysis
In honor of today being April 20th, I thought it would be interesting to do some NLP on Reddit comments about marijuana (shout out to…
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Python plays Grand Theft Auto V
Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free.
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Taming Recurrent Neural Networks for Better Summarization
This blog post is about the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks by Abigail See, Peter J Liu, and Christopher Manni...
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Street Fighter II's AI Engine
By today’s standards, the Artificial Intelligence in Street Fighter 2 World Warrior isn’t very sophisticated. These days, when most people talk about AI they’re talking about mach…
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Patrick Winston Explains Deep Learning
Patrick Winston is one of the greatest teachers at M.I.T., and for 27 years was Director of the Artificial Intelligence Laboratory (which later became part of CSAIL ).
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Zi2zi: Master Chinese Calligraphy with Conditional Adversarial Networks
zi2zi is the follow-up work for my last project , once again tackling the same problem of style transfer between Chinese fonts.