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deep learning for image processing including classification and object-detection etc.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
suogege / deep-learning-for-image-processing
Forked from WZMIAOMIAO/deep-learning-for-image-processingdeep learning for image processing including classification and object-detection etc.
This is a novel and easy method for annotation uncertainties.
Loss Function Search for Face Recognition
Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
State-of-the-art 2D and 3D Face Analysis Project
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
A paper list of object detection using deep learning.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
scikit-learn: machine learning in Python