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What is reinforcement learning?Reinforcement learning is the family of learning algorithms in which an agent learns from its environment by interacting with it. What does it learn? Informally, an agent learns to take actions that bring it from its current state to the best (optimal) reachable state. I find that examples always help. Examine the following 3×3 grid: This grid is our agent's environm
In this article, we'll train a PyTorch model to perform super-resolution imaging, a technique for gracefully upscaling images. We'll use the Quilt data registry to snapshot training data and models as versioned data packages. Super-resolution imaging (right) infers pixel values from a lower-resolution image (left). The reproducibility crisis Machine learning projects typically begin by acquiring d
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Image Credits: Karol Majek. Check out his YOLO v3 real time detection video here Object detection is a domain that has benefited immensely from the recent developments in deep learning. Recent years have seen people develop many algorithms for object detection, some of which include YOLO, SSD, Mask RCNN and RetinaNet. Object detection is a domain that has benefited immensely from the recent develo
"Most of human and animal learning is unsupervised learning. If intelligence was a cake, unsupervised learning would be the cake [base], supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the cake. We know how to make the icing and the cherry, but we don't know how to make the cake." Director of AI Research at Facebook, Professor Yann LeCunn repea
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