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 machinethink.net
One-stage object detection
| | polukhin.tech
How Object Detection Evolved: From Region Proposals and Haar Cascades to Zero-Shot Techniques | Andrii Polukhin
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| | The development of Object Detection algorithms has come a long way, starting with early computer vision and reaching a high level of accuracy through deep learning. In this post, we will look at the stages of development of these algorithms and the main methods used in modern object detection systems.
| | felixlaumon.github.io
Recognizing and Localizing Endangered Right Whales with Extremely Deep Neural Networks
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| | In this post I'll share my experience and explain my approach for the Kaggle Right Whale challenge. I managed to finish in 2nd place.
| | michael-lewis.com
A machine learning glossary for hackers ยท Michael I Lewis
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| | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.
| | wtfleming.github.io
Cats vs Dogs - Part 1 - 92.8% Accuracy - Binary Image Classification with Keras and Deep Learning
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