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 alexanderganderson.github.io
Streamline your Deep Learning Optimization Process
| | marcospereira.me
Backpropagation From Scratch-Marcos Pereira
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| | In this post we summarize the math behind deep learning and implement a simple network that achieves 85% accuracy classifying digits from the MNIST dataset.
| | www.ntentional.com
ICLR 2020: Efficient Deep Learning and More | ntentional
11.6 parsecs away

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| | Highlights from my favorite Deep Learning efficiency-related papers at ICLR 2020
| | zserge.com
AI or ain't: Neural Networks
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| | Neural network and deep learning introduction for those who skipped the math class but wants to follow the trend
| | polukhin.tech
How Object Detection Evolved: From Region Proposals and Haar Cascades to Zero-Shot Techniques | Andrii Polukhin
61.1 parsecs away

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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.