Deep reinforcement learning doesn't work yet
June 24, 2018 note: If you want to cite an example from the post, please cite the paper which that example came from. If you want to cite the post as a whole, you can use the following BibTeX:
The latest blog posts to take off on Hacker News. 6,336 posts.
June 24, 2018 note: If you want to cite an example from the post, please cite the paper which that example came from. If you want to cite the post as a whole, you can use the following BibTeX:
This is the story of how I trained a simple neural network to solve a well-defined yet novel challenge in a real iOS app. The problem is unique, but most of what I cover should apply to any task in any iOS app. That’s the beauty of neural networks.
Starting today, Cloud TPUs are available in beta on Google Cloud to help machine learning (ML) experts train and run their ML models more quickly.
The story of technology is not unlike what often happens in dramatic stories and plays, where a “deus ex machina” or character drops down magically from the skies onto our world stage. But in reality, technology never comes so suddenly, or in such an isolated manner: There’s an entire ecosystem that grows up around…
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Deep Reinforcement Learning (DeepRL) has achieved remarkable success in a range of tasks, from continuous control problems in robotics to playing games like Go and Atari. The improvements seen in these domains have so far been limited to individual tasks where a separate agent has been tuned and trained for each task.
This is really the same article as Part 1 - Hello CUDA, but with the focus on OpenCL, so I'll skip most of the narration and just show you the code.
My name is Gabi (my bio), and I’m the CEO and co-founder of Chicisimo. We launched three years ago, our goal was to offer automated outfit…
This article is geared towards people with a STEM background. For something shorter try this article in The Weekly Standard. Também disponível em português aqui . 💃🏽
Figure from our paper: given any waveform, we can modify it slightly to produce another (similar) waveform that transcribes as any different target phrase.
Right from my undergrad days when I was starting out with machine learning to this date, my admiration for Kaggle continues to grow. In addition to being synonymous with and popularizing data scien…
Today, fast number crunching means parallel programs that run on Graphical Processing Units (GPUs). Thanks to the recent highly publicized deep learning and ...
Explore Google Design’s human-centered approach to UX design for AI. Learn how Google Clips uses ML for user-friendly, private experiences. Discover more.
Using Self-Organizing Maps to solve the Traveling Salesman Problem The Traveling Salesman Problem is a well known challenge in Computer Science: it consists on finding the shortest route possible that traverses all cities in a given map only once. Although its simple explanation, this problem is, indeed, NP-Complete…
In this post, I'll explain the architecture of Faster R-CNN, starting with a high level overview, and then go over the details for each of the components. You'll be introduced to base networks, anchors as well as the region proposal network.
To make AI accessible to every business, we’re introducing Cloud AutoML, which helps businesses with limited ML expertise start building their own high-quality custom mo…
One model to learn them all Kaiser et al., arXiv 2017 You almost certainly have an abstract conception of a banana in your head. Suppose you ask me if I’d like anything to eat. I can say the word ‘…