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Essential Cheat Sheets for deep learning and machine learning researchers
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
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
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
electron-ssr原作者删除了这个伟大的项目,故备份了下来,不继续开发,且用且珍惜
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practice
Python - 100天从新手到大师
《Pytorch模型训练实用教程》中配套代码
TensorFlow Tutorial and Examples for Beginners with Latest APIs
This script performs K-means Clustering on the Berkeley Deep Drive dataset to find the appropriate anchor boxes for YOLOv3. Originally it has 9 anchor boxes and image size is 608x608. For any issues pleas let me know
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.