Robotics & Computer Vision Engineer, PhD
Excited to share Prof. Michael Milford’s post about the upcoming “Unifying Visual SLAM: From Fragmented Datasets to Scalable, Real-World Solutions”
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🎉 pySLAM v2.2.5 is here! This new release includes a visual SLAM pipeline for monocular, stereo, and RGBD cameras with:
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I am happy to share the new version of pyslam: v2.1. It comes with new improvements and the following new
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I am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment,
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In this very nice article, Jeff compares all the hottest deep learning frameworks that are used in the Academic and
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This post explains a trick which allows us to convert neural network outputs into probabilities, with no cost to performance,
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Tiny-CNN is an header-only, dependency-free deep learning framework for C++11. Just include tiny_cnn.h and write your model in C++. There is
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In this nice post, LSTMs are described to have more control than typical RNNs over what they remember. In general,
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From Eugenio Curlurciello’s blog, Professor at Purdue University, you can find here a post about the the history of neural network design
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Here you can find a fantastic post on reinforcement learning by Andrej Karpathy. The Author explains how it is possible
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Check this page… and have fun playing with neural networks.
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