Learning ‘Montezuma’s Revenge’ from a single demonstration
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The latest blog posts to take off on Hacker News. 3,242 posts.
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Keras and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
Researchers from Loughborough University, Western General Hospital, the University of Edinburgh, and the Edinburgh Cancer Centre in the United Kingdom, recently developed a deep learning-based method…
Posted by Carl Vondrick, Research Scientist, Machine Perception Tracking objects in video is a fundamental problem in computer vision, essential to...
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Posted by Ekin Dogus Cubuk, Google AI Resident and Barret Zoph, Research Scientist, Google Brain Team The success of deep learning in computer vi...
There is more than meets the eye when it comes to how we understand a visual scene: our brains draw on prior knowledge to reason and to make inferences that go far beyond the patterns of light that hit our retinas. For example, when entering a room for the first time, you instantly recognise the items it contains and…
How to take advantage of spaCy & a bit of Cython for blazing fast NLP
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We’re announcing seven principles to guide our work in AI.
Even if you’ve covered Congress for The New York Times for a decade, it can be hard to recognize which member you’ve just spoken with…
Mozilla’s latest awards will support people and projects that examine the effects of AI on society At Mozilla, one way we support a healthy internet i
MLflow is an open-source platform to manage the ML lifecycle, offering tools for data preparation, model training, and deployment at scale.
We developed an NLP deep learning model using a one-dimensional convolutional neural network to predict future stock market performance of companies using Azure ML Workbench and Keras with open source for you to replicate.
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Position Map Regression Networks (PRN) is a method to jointly regress dense alignment and 3D face shape in an end-to-end manner. In this article, I’ll provide a short explanation and discuss its applications in computer vision. When I was a… Continue reading 3D Face Reconstruction with Position Map Regression Networks