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New
The latest blog posts to take off on Hacker News. 292 posts.
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A Long Peek into Reinforcement Learning
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2080 Ti TensorFlow GPU Benchmarks
What's the best GPU for Deep Learning? The 2080 Ti. We benchmark the 2080 Ti vs the Titan V, V100, and 1080 Ti.
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Open-Source Machine Learning Repos to Inspire Your Next Project
In the last couple of years, machine learning has opened up new horizons in a wide range of industries, with advanced use cases emerging: Facebook’s facial recognition, Netflix’s recommended movies, PrismaAI’s image style transfer, Siri’s voice recognition, Google Allo’s natural… Continue reading 25 Open-Source…
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Using machine learning to index text from billions of images
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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A Gentle Introduction to Markov Chain Monte Carlo (2012)
Applying probabilistic models to data usually involves integrating a complex, multi-dimensional probability distribution. For example, calculating the expectation/mean of a model distribution invol…
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Facebook launches PyTorch 1.0
Earlier this year, we shared a vision for making AI development faster and more interoperable. Today, during our first-ever PyTorch Developer Conference, we are announcing updates about the growing…
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Why Can a Machine Beat Mario but Not Pokemon?
Why Can a Machine Beat Mario but not Pokemon? By now, you’ve probably heard of bots playing video games at superhuman levels. These bots can be programmed explicitly, reacting to set inputs with …
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iOS 12 Core ML Benchmarks
With the A11 Bionic’s Neural Engine in last year’s iPhone X, Apple introduced its first chip for hardware-accelerated AI. This year, Apple promised huge performance increases to Core ML in their iOS 12 update. They claim models run 9X faster… Continue reading iOS 12 Core ML Benchmarks
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How to visualize decision trees
Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. Unfortunately, current…
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Making a racist AI without really trying (2017)
A cautionary tutorial. Let's make a sentiment classifier!¶Sentiment analysis is a very frequently-implemented task in NLP, and it's no surprise. Recognizing whether people are expressing positi
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Deep learning experiments in OCaml
Last year we held a machine learning seminar in our London office, which was an opportunity to reproduce some classical deep learning results with a nice twi...
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On generative algorithms
An illustrated essay on generative algorithms written by Anders Hoff.
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Deep Learning Basics with Python, TensorFlow and Keras
Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free.
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Preserving Outputs Precisely while Adaptively Rescaling Targets
Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective for artificial intelligence research. Recently, there has been a lot of excellent progress, with agents like DQN able to use the same algorithm to learn to play multiple games including Breakout and…
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Generative Art Finds Its Prodigy
In our last article " Why Love Generative Art ?" we had a blast putting the genre into the context of modern art history. In this article we interview contemporary generative art prodigy (my words, not his) Manolo Gamboa Naon from Argentina. Manolo's work feels like it is the re
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The Camera Is the Lidar
It was clear when Ouster started developing the OS-1 three years ago that deep learning research for cameras was outpacing lidar research…
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Multi-Armed Bandits, Conjugate Models and Bayesian Reinforcement Learning
This is the first of a two-part series about Bayesian bandit algorithms. Check out the second post here. Let’s talk about Bayesianism. It’s developed a reputation (not entirely justified, but not entirely unjustified either) for being too mathematically sophisticated or too computationally intensive to work at scale…